Cellular Sensory and Optical Wave Computing Laboratory [ order by time]
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[ order by authors]
2011.- Performance analysis of a vision only sense and avoid system for small UAVs.
- Visual detection and implementation aspects of a UAV see and avoid system.
- Efficient mapping of mathematical expressions to FPGAs: Exploring different design methodologies.
- Wi-FLIP: A wireless smart camera based on a focal-plane low-power image processor.
Authors: Fernández-Berni, Jorge; Carmona-Galán, Ricardo; Linán-Cembrano, Gustavo; Zarándy, Ákos; Rodríguez-Vázquez, AngelDate: 2011. 08. 22.Download article: [html]
- Demo: Real-time remote reporting of active regions with Wi-FLIP.
Authors: Fernández-Berni, Jorge; Carmona-Galán, Ricardo; Linán-Cembrano, Gustavo; Zarándy, Ákos; Rodríguez-Vázquez, AngelDate: 2011. 08. 22.Download article: [html]
- Performance analysis of a vision only sense and avoid system for small UAVs.
- Applications of the virtual cellular machine to many-core processors.
- Collision avoidance for UAV using visual detection.
- Focal-plane sensor-processor chips.
- Anatomy of the focal-plane sensor-processor arrays.
- Implementation and validation of a looming object detector model derived from mammalian retinal circuit.
- High-speed, SAD based wavefront sensor architecture implementation on FPGA.
- 2D operators on topographic and non-topographic architectures-implementation, efficiency analysis, and architecture selection methodology.
- On full-connectivity properties of locally connected oscillatory networks.
- Real-time multi-finger tracking in 3D for a mouseless desktop.
- Bionic eyeglass: personal navigation system for visually impaired people.
- VISCUBE: a multi-layer vision chip.
2010.- Cellular wave computing via nanoscale chip architectures.
- Gardens of Eden: where nonlinear dynamics and formal languages meet.
- An improved emulated digital CNN architecture for high performance FPGAs.
- Mapping of high performance data-flow graphs into programmable logic devices.
- Robust and non-Robust ?-limit orbits in 1D cellular automata.
- Learning in polynomial cellular neural networks using quadratic programming.
- Chaos via two-valued interval maps in a piecewise affine model example for hysteresis.
- In-line color digital holographic microscope for water quality measurements.
- Retinal approaching object detector model implementation and validation.
- Locally connected oscillatory networks acting as fully connected oscillatory networks.
Authors: Corinto, F.; Gilli, M.; Roska, TamásDate: 2010. 05. 30.Download article: [html]
- Array computing based implementation of water reinjection in geothermal structure.
Authors: Kostianev, S. G.; Kocsárdi, S.; Nagy, Zoltán; Szolgay, Péter; Akin, S.
Date: 2010. 04. 25.
- Computational fluid flow simulation on body fitted mesh geometry with FPGA based emulated digital cellular neural networks.
- A CNN motivated array computing model.
- Simulation of three-dimensional supersonic flow on IBM cell processor based emulated digital cellular neural networks.
- Designing efficient CNN algorithms for the bionic eyeglass by combining manual and automatic techniques.
- Digital micromirror device (DMD) projector based test bench for vision chips.
- Bio-inspired looming object detector algorithm on the Eye-RIS focal plane-processor system.
- GPU implementation of volume reconstruction and object detection in digital holographic microscopy.
- Displacement calculation algorithm on a heterogeneous multi-layer cellular sensor processor array.
- Digital processor array implementation aspects of a 3D multi-layer vision architecture.
- Threshold of complexity in 2D binary cellular automata found through polynomial CNNs.
- Periodicity enhancement of two-mode stochastic oscillators in a CNN type architecture.
- Variational computing based segmentation methods for medical imaging by using CNN.
- On the equivalence between locally and fully connected oscillatory networks.
- Towards a mobile navigation device.
- Pattern formation in oscillatory media: beyond reaction-diffusion model.
- Multi-color digital holographic microscope (DHM) for biological purposes.
- A 3-D chip architecture for optical sensing and concurrent processing.
Authors: Rodríguez-Vázquez, A.; Carmona, R.; Domínguez Matas, C.; Suárez-Cambre, M.; Brea, V.; Pozas, F.; Linán, G.; Földesy, Péter; Zarándy, Ákos; Rekeczky, CsabaEditor: Berghmans, F.; Mignani, A. G.; van Hof, C. A.Date: 2010.Download article: [html]
- 12th international workshop on cellular nanoscale networks and their applications. CNNA 2010. Berkeley, 2010.
- Low-power processor array design strategy for solving computationally intensive 2D topographic problems.
- Cellular nanoscale sensory wave computing.
- Cellular wave computing in nanoscale via million processor chips.
- Cellular multi-core processor carrier chip for nanoantenna integration and experiments.
- A nonlinear dynamics perspective of Wolfram's new kind of science, Part XIII: Bernoulli ??-shift rules.
- Isle of Eden in 1D binary cellular automaton as a manifestation of Gödel incompleteness and a proposal for a bridge between analytical results and spatial-temporal logic patterns.
- Multivalued perturbations of a saddle dynamics.
Authors: Colombo, G.; Feckan, M.; Garay, Barna
Date: 2010.
- Organization levels in P systems.
- The Euler-Poincaré formula for systems with hysteresis in two dimension.
- Many-core processor architectures for topographic computations. Beyond parallelism.
- Hologram positioning servo for phase-encoded holographic data storage systems.
- A nonlinear dynamics perspective of Wolfram's new kind of science. Part XIV: More Bernoulli ?? -shift rules.
2009.- Computing the weights of polynomial cellular neural networks using quadratic programming.
Authors: Rubi-Velez, A.; Gomez-Ramirez, E.; Pazienza, Giovanni EgidioEditor: Bayro-Corrochano, E.; Eklundh, J.-O.Date: 2009. 11. 15.
- A supersonic flow simulation on IBM cell processor based emulated digital cellular neural networks.
- Implementation of a parallel SAD based wavefront sensor architecture on FPGA.
- CNN model on stream processing platform.
- Variational computing based images denoising methods by using cellular neural networks.
- 3D multi-layer vision architecture for surveillance and reconnaissance applications.
- Computational fluid flow simulation on body fitted mesh geometry with IBM cell broadband engine architecture.
Authors: Nagy, Zoltán; Kiss, A.; Kocsárdi, S.; Csík , Á.Date: 2009. 08. 23.
- Crosswalks recognition through CNNs for the bionic camera: manual vs. automatic design.
- New properties of 2D cellular automata found through polynomial cellular neural networks.
- Supersonic flow simulation on IBM cell processor based emulated digital cellular neural networks.
Authors: Nagy, Zoltán; Kiss, A.; Kocsárdi, S.; Csík, Á.Date: 2009. 05. 24.
- Spatial-temporal patterns in hardware oriented oscillatory CNN architectures.
Authors: Corinto, F.; Roska, Tamás; Gilli, M.Date: 2009. 05. 24.
- Towards a gesture based human-machine interface: fast 3D tracking of the human fingers on high speed smart camera computers.
- Stochastic optimatization of spin-glasses on cellular neural/nonlinear network based processors.
Authors: Ercsey-Ravasz, M.; Roska, Tamás; Néda, Z.Date: 2009.
- Cellular neural networks for NP-hard optimization.
Authors: Ercsey-Ravasz, M.; Roska, Tamás; Néda, Z.Date: 2009.
- Cellular wave computer algorithms with spatial semantic embedding for handwritten text recognition.
- Anyone can build Chua's circuit: hands-on-experience with chaos theory for high school students.
Authors: Gandhi, G.; Cserey, Gy.; Zbrozek, J.; Roska, TamásDate: 2009.
- Discovering universal polynomial cellular neural networks through genetic algorithms.
- Modeling stimulus-driven attentional selection in dynamic natural scenes.
Authors: Lázár, A.; Vidnyánszky, Z.; Roska, TamásDate: 2009.
- Special issue on cellular wave computing architectures, Part II.
Authors: Roska, Tamás; Arena, P.; Lin, C.-T.; Tetzlaff, R.Date: 2009.
- Simulation of two-dimensional supersonic flows on emulated digital CNN-UM.
- Simulation of 2D inviscid, adiabatic, compressible flows on emulated digital CNN-UM.
- Simulating the behaviour of cellular automata by extended spiking neural P systems.
- Special issue on cellular wave computing architectures, Part II.
Editor: Roska, Tamás; Arena, P.; Lin, C.-T.; Tetzlaff, R.Date: 2009.
- Quasi global-equivalence in one-dimensional binary cellular automata.
- Nonlinear dynamics perspective of Wolfram's new kind of science. Part X: Period-1 rules.
- FPGA-based realtime, multichannel emulated-digital retina model implementation.
- Nonlinear dynamics perspective of Wolfram's new kind of science. Part XI: Period-2 rules.
2008.- Bifurcation analysis of an oscillatory CNN model with two cells.
- A computer-assisted proof of Sigma_3-chaos in the forced damped pendulum equation.
Authors: Bánhelyi, Balázs; Csendes, Tibor; Garay, Barna; Hatvani, LászlóDate: 2008.
- Statistical physics on cellular neural network computers.
Authors: Ercsey-Ravasz, Mária; Roska, Tamás; Néda, ZoltánDate: 2008.
- Isles of Eden and the ZUK theorem in R^d.
- Exploitation of cell multi-processor array in solution of spatio-temporal dynamics.
- An overview on emerging spatial wave logic for spatial-temporal events via cellular wave computers on flows and patterns.
- Supersonic flow simulation on emulated digital cellular neural networks.
- A nonlinear dynamics perspective of Wolfram's new kind of science. Part IX: Quasi-ergodicity.
Authors: Chua, Leon O.; Pazienza, Giovanni Egidio; Orzó, László; Sbitnev, Valery I.; Shin, JinwookDate: 2008.
- Insect-vision inspired collision warning vision processor for automobiles.
Authors: Linan-Cembrano, G.; Carranza, L.; Rind, C.; Zarándy, Ákos; Soininen, M.; Rodríguez-Vázquez, A.Date: 2008.
- Localization of directional sound sources supported by a priori information of the acoustic environment.
- Localization of Directional Sound Sources Supported by a priori Information of the Acoustic Environment
- Awakening dynamics via passive coupling and synchronization mechanism in oscillatory cellular neurtal/nonlinear networks.
- Configurable 3D-integrated focal-plane sensor-processor array architecture.
- Implementation of embedded emulated-digital CNN-UM global analogic programming unit on FPGA and its application.
- Toward exploitation of cell multi-processor array in time-consuming applications by using CNN model.
- Real-time moving object segmentation algorithm implemented on the Eye-RIS focal plane sensor-processor system.
- Implementing the non-linear wave metric on the Q-Eye cellular array processor chip.
- Emulated digital CNN-UM on different kind of array processors.
- FPGA based emulated-digital CNN-UM implementation with GAPU.
- Two-dimensional compressible flow simulation on emulated digital CNN-UM.
- Analysis of 2D operators on topographic and non-topographic processor architectures.
- Clusterable cellular visual microprocessor.
- Combined optically addressable spatial light modulator for affordable adaptive optics.
- Digital holographic microscopy and CNN based image processing for biohazard detection.
- Toward exploitation of cell multi-processor array in time-consuming applications by using CNN model.
- An advanced real-time, multi-channel emulated-digital retina model implementation on FPGA.
- Some chaotic properties of the beta-hysteresis transformation.
Authors: Garay, Barna; Csikja, Rudolf; Tóth, JánosDate: 2008.
- Application of cellular wave computers in high speed real-time processing: measurements of a finger tracking algorithm for human-machine interface.
- A computer-assisted proof of chaotic behaviour of the area preserving Hénon map.
Authors: Bánhelyi, Balázs; Csendes, Tibor; Garay, BarnaDate: 2008.
- Long-range dependence of long-term continuous intracranial electroencephalograms for detection and prediction of epileptic seizures.
Authors: Weiss, Béla; Vágó, Zsuzsanna; Tetzlaff, Roland; Roska, TamásDate: 2008.
- Experimental result on supersonic flow simulation on emulated digital CNN-UM.
- A standalone FPGA based emulated-digital CNN-UM system.
- Implementation and efficiency analysis of 2D operators on topographic and non-topographic image processor architectures.
2007.- Elastic grid based analysis of motion field for object-motion detection in airborne video flows.
- Sensor integration in autonomous systems.
- Artificial immune systems based novelty detection with CNN-UM.
- 3D integrated scalable focal-plane processor array.
- CNN model on cell multiprocessor array.
- High performance processor array for image processing.
- A neuromorphic chip that imitates ON brisk transient ganglion cell set in the retinas of rabbits.
- Cellular wave computers for nano-tera-scale technology - beyond Boolean, spatial-temporal logicin million processor devices.
- Circuits, computers, and beyond Boolean logic.
- Function-in-layout: Aademonstration with bio-inspired hyperacuity chip.
- Tactile sensing-processing: interface-cover geometry and the inverse-elastic problem.
Authors: Vásárhelyi , Gábor; Fodor, Balázs; Roska, TamásDate: 2007.
- CNN-UM based transversely isotropic elastic wave propagation simulation.
- Emulated digital CNN solution for two dimensional compressible flows.
- Pszichoakusztika és teremakusztika hangforrások tér-időbeni szimulált szegregációjában.
Authors: Fodróczy, Zoltán
Date: 2007.
- Nanoantenna- mom dióda szenzorok elektrodinamikája.
- Biomorf időbeli hiperélesség és "funkció a maszkrajzban" VLSI tervezés. A gyöngybagoly irányhallás-rendszerének implementálása CNN-architektúrájú idő-digitális átalakító integrált áramkörrel.
Authors: Mozsáry, András
Date: 2007.
- Smart sensor based vision system for automated processes.
Authors: Argyros, A.; Bártfai, Gusztáv; Eitzinger, Ch.; Kemény, Zsolt; Csáji, Balázs Csanád; Kék, László; Lourakis, M.; Reisner, W.; Sandrisser, W.; Sarmis, T.; Umgeher, G.; Viharos, Zsolt JánosDate: 2007.
- Methods for the assessment of multineural and multivariate activity patterns and some CNN architecture implementations.
- Text recognition, event detection and some theoretical aspects of cellular wavw computer architectures.
- Vision based human-machine interface via hand gestures.
- Cellular wave computing library (templates, algorithms, and programs). Version 2.1.
- Dielectric lens nanoantennas for uncooled, CMOS compatible, high speed double-band infrared sensors. Version 1.1.
- Toward exploitation of cell multi-processor array in time-consuming applications by using CNN model.
- Smart sensor based vision system for automated processes.
Authors: Argyros, A.; Bártfai, Gusztáv; Eitzinger, Ch.; Kemény, Zsolt; Csáji , Balázs Csanád; Kék, László; Lourakis, M.; Reisner, W.; Sandrisser, W.; Sarmis, T.; Umgeher, G.; Viharos, Zsolt JánosEditor: Pennacchio, S.Date: 2007.
2006.- Bio-inspired 0.35 (mikro)m CMOS time-to-digital converter with 29.3 ps LSB
- 3D tactile sensor array processed by CNN-UM: a fast method for detecting and identifying slippage and twisting motion
- Computational auditory scene analysis in cellular wave computing framework
- Emulated digital CNN-UM solution of partial differential equations
- Digital implementation of the cellular sensor-computers
- An advanced emulated digital retina model on FPGA to implement a real-time test environment
- High throuhput design of bacterial artificial chromosomes (BACs) for cell type specific gene expression in transgenic mice
- Bionic eyeglass: an audio guide for visually impaired
- System aspects of a bionic eyeglass
- Topographic cellular active contour techniques: theory, implementations and comparisons
Authors: Hillier, D; Binzberger, V; Vilarino, DL; Rekeczky, CsabaDate: 2006.
- Analog VLSI, array-processor-based, Bayesian, multi-scale optical flow estimation
- Solving partial differential equations on emulated digital CNN-UM architectures
- Seismic wave propagation modelling on emulated digital CNN-UM architecture
- Object comparison using PDE-based wave metric on cellular neural networks
- Spatio-temporal nonlinear wave metric for binary and gray-scale object comparison on analogic cellular wave computers
- Seismic wave propagation modeling on CNN-UM architecture
- Immune response inspired spatial-temporal target detection algorithms with CNN-UM
- Complex dynamics in one-dimensional CNNs
- Random number generator and Monte Carlo type simulations on the CNN-UM
Authors: Ercsey-Ravasz, M; Roska, Tamás; Néda, ZEditor: Tavsanoglu, V; Arik, SDate: 2006.
- Optical cellular wave computer implementation and programming
- Nagysebességű képfeldolgozás - ALFA projekt
- FPGA based implementation of water reinjection in geothermal structure
- An embedded CNN-UM global analogic programming unit implementation on FPGA
- Image-based visual servo control of a robotic arm by using cellular neural networks
- Grasp planning based on fingertip contact forces and torques
- Design and realization of a biped robot using stepper motor driven joints
- Complex computational problems in cellular architectures
- CNNUM-based methods using deformable contours on smooth boundaries
- Space-time signature analysis of 2D echocardiograms based on topographic cellular active contour techniques
- Human tested saliency map generation in the bionic eyeglass project
Authors: Lázár, Anna; Roska, TamásEditor: Tavsanoglu, VDate: 2006.
- Route number recognition of public transport vehicles via the bionic eyeglass
- Programmable OASLM as a novel sensing celllular computer
- Acoustic wave propagation modeling on 3D CNN-UM architecture
Authors: Sonkoly, P; Kozma, P; Nagy, ZoltánEditor: Tavsanoglu, VDate: 2006.
- A CNN implementation of the Horn and Schunk motion estimation method
Authors: Gacsádi, A; Grava, C; Tiponut, V; Szolgay, PéterEditor: Tavsanoglu, VDate: 2006.
- Implementation of nonlinear template runner emulated digital CNN-UM on FPGA
- Analogic implementation of the genetic algorithm
- Partial differential equation based preprocessing and immune response inspired algorithms implemented on CNN universal machine
2005.- Hardware and software environment for a tactile sensor array
- High-performance Viterbi decoder with circularly connected 2-D CNN unilateral cell array
Authors: Kim, H; Son, H; Roska, T; Chua, LODate: 2005.
- Elastic wave propagation modeling on emulated digital CNN-UM architecture
Authors: Kozma, P; Sonkoly, P; Szolgay, PDate: 2005.
- An emulated digital retina model implementation on FPGA
Authors: Nagy, Z; Vörösházi, Zs; Szolgay, PDate: 2005.
- Mammalian retina model implementation on emulated digital FPGA
Authors: Nagy, Z; Vörösházi, Zs; Szolgay, PDate: 2005.
- Development of a real-time 2D and 3D echocardiographic diagnostic system
- Image inpainting methods by using cellular neural networks
- A new CNN template for POAC peak enhancement
- POAC: optical computer for large data sets
- A handy retina exploration device
- Retina model with real time implementation
- Multiple laser dot detection and localization within an attention driven sensor fusion framework
- Cellular wave computers and CNN technology - an SoC architecture with xK processors and sensor arrays
- Bi-i: a standalone ultra high speed cellular vision system
- Pixel-level snakes on the CNNUM: algorithm design, on-chip implementation and applications
- Various implementations of topographic, sensory, cellular wave computers
- Per-pixel integration time controlled image sensor
- Discrete stochastic approximation via simultaneous difference approximations
- A real-time multitarget tracking system with robust multichannel CNN-UM algorithms
- High-speed label inspection system for textile industry
- Cellular wave computers for brain-like spatial-temporal sensory computing
- Inverse elastic wave propagation modeling on CNN-UM architecture
Authors: Sonkoly, P; Kocsárdi, S; Kozma, P; Szolgay, PDate: 2005.
- Artificial immune systems based sound event detection with CNN-UM
- Analogic CNN computing fosters detecting stroke signs
- Log-optimal currency portfolios and control Lyapunov exponents
2004.- Topographic cellular active contour techniques: comparison of different approaches
Authors: Hiller, D; Binzberger, V; Vilarino, DL; Rekeczky, CSDate: 2004.
- Holistic feature extraction from handwritten words on wave computers
- Receptive field atlas and related CNN models
Authors: Gál, V; Hámori, J; Roska, T; Bálya, D; Borostyánkői, ZS; Brendel, M; Lotz, K; Négyessy, L; Orzó, L; Petrás, I; Rekeczky, CS; Takács, J; Venetiáner, P; Vidnyánszky, Z; Zarándy, ÁDate: 2004.
- A variational method for image denoising, by using cellular neural networks
- Trends in design of massively parallel coprocessors implemented in digital ASICs
- Toward optimized time-multiplexed CNN processing
- Analogic CNN algorithms for textile quality control based on optical and tactile sensory inputs
- Fast detection and tracking of faces in uncontrolled environments for autonomous robots using the CNN-UM
Authors: Mcraven, J; Scheutz, M; Cserey, GY; Andronache, V; Porod, WDate: 2004.
- Emulated digital CNN-UM implementation of a barotropic ocean model
- Functional representations of retina channels via the RefineC retina simulator
- Seismic wave propagation modeling on emulated digital CNN-UM architecture
Authors: Kozma, P; Kocsádi, S; Sonkoly, P; Szolgay, PDate: 2004.
- Smelling human sex hormone-like compounds affects face gender judgment of men
Authors: Kovács, GY; Gulyás, B; Savic, I; Perrett, DI; Cornwell, RE; Little, AC; Jones, BC; Burt, DM; Gál, V; Vidnyánszky, ZDate: 2004.
- Feature extraction CNN algorithms for artificial immune systems
- An artificial immune system for visual applications with CNN-UM
- A new computational model for CNN-UMS and its computational complexity
- Efficient off-line feature selection strategies for on-line classifier systems
- The first version of the optical programmable array/analogic computer (POAC) template library
- Evolution of the programmable optical array computer (POAC)
- A review of the programmable optical array computer (POAC). (Research report of the Analogical and Neural Computing Laboratory DNS-2-2004)
- Implementing the multilayer retinal model on the complex-cell CNN-UM chip prototype
- Mapping propositional and multi-valued logic rule-based expert systems to the CNN-UM
- An artificial immune system based visual analysis model and its real-time terrain surveillance application
- Second-order neural core for bioinspired focal-plane dynamic image processing in CMOS
Authors: Carmona-Galán, R; Jiménez-Garrido, F; Domínguez-Mata, CM; Domínguez-Castro, R; Espejo Meana, S; Petrás, I; Rodríguez-Vázquez, ÁDate: 2004.
- Low-cost CNN-UM global analogic programming unit implementation on FPGA
- Pattern formation on the prototype complex-cell CNN-UM chip (CACE1K)
- Tactile sensor modeling by using emulated digital CNN-UM
Authors: Nagy, Z; Szolgay, ZS; Szolgay, PDate: 2004.
- A CNN image-compression algorithm for improved utilization of on-chip resources
- Shortest path problem with pixel level snakes: application to robot path planning
- Adaptive perception with locally adaptable sensor array
- Implementation of a pixel-level snake algorithm on a CNN-UM based chip set architecture
- Efficient hardware-oriented cellular active contours
- Stability of multi-layer cellular neural/non-linear networks
- Adaptive perception with locally-adaptable sensor array
- High dynamic range perception with spatially variant exposure
- Controlled Lyapunov-exponents with applications
- Discrete optimization, SPSA and Markov chain Monte Carlo methods
- An intelligent solution for motion picture restoration
- A complete solution for motion picture restoration: scanning, processing, recording
- Bi-i: a standalone cellular vision system. Part I. Architecture and ultra high frame rate processing examples
- Bayesian incorporation of multiple scales in optical flow estimation
- Analog VLSI based Bayesian multi-scale optical flow estimation. (Research report of the Analogical and Neural Computing Laboratory DNS-7-2004)
- Cellular multiadaptive analogic achitecture: a computational framework for UAV applications
- Topographic and non-topographic neural network based computational platform for UAV applications
- Bi-i: a standalone cellular vision system. Part II: Topographic and non-topographic algorithms and related applications
- A diagnostic echocardiography system boosted by CNN technology
- CNN as curve shortening flow computer
- Fast, reliable, adaptive, bimodal people tracking for indoor environments
Authors: Scheutz, M; Mcraven, J; Cserey, GYDate: 2004.
- Morphological and wave segmentation by cellular neural networks
- POAC (programmable optical array computer) applied for target recognition and tracking
- Laptop POAC: a compact optical implementation of CNN-UM
- Regular small-world cellular neural networks: key properties and experiments
- Qualitative and quantitative wall-motion analysis on 2D echocardiograms. (Research report of the Analogical and Neural Computing Laboratory DNS-8-2004)
- Stochastic approximation on discrete sets using simultaneous difference approximations
2003.- High speed road boundary detection on the images for autonomous vehicle with the multi-layer CNN
Authors: Kim, H; Hong, S; Son, H; Roska, T; Werblin, FDate: 2003.
- Elementary CNN algorithms and an experimental system for typical tactile actions
Authors: Kis, A; Bottka, N; Kovács, F; Szolgay, PDate: 2003.
- Automatic detection and tracking of moving image target with CNN-UM via target probability fusion of multiple features
Authors: Kim, H; Roska, T; Chua, LO; Werblin, FDate: 2003.
- Analog addition/subtraction on the CNN-UM chip with short-time superimposition of input signals
- Intimate integration of shape codes and linguistic framework in handwriting recognition via wave computers
- Configurable multi-layer CNN-UM emulator on FPGA
- Numerical solution of a class of PDEs by using emulated digital CNN-UM on FPGAs
- Adaptive multi-rate, multi-grid and multi-scale algorithms running on analogic architecture
- Active wave computing on silicon: chip experiments
- On the effect of boundary conditions on CNN dynamics: stability and instability; bifurcation processes and chaotic phenomena
- New spatial-temporal patterns and the first programmable on-chip bifurcation test bed
- A topological partition theorem and open covers
Authors: Juhász, I; Klimó, J; Szentmiklóssy, ZDate: 2003.
- Interfacing the CASTLE emulated digital array processor to the ALADDIN system
Authors: Hidvégi, T; Sütő, I; Keresztes, P; Szolgay, PDate: 2003.
- Detecting global spatial-temporal events: saccadic suppression
- A Bio-inspired two-layer mixed-signal flexible programmable chip for early vision
- Classification of spatio-temporal features: the nearest neighbor family
- Simulation of optical CNN template library based on t2-JTC
- A study of correlation process of a modified JTC for optical CNN
- Immune response inspired CNN algorithms for many-target detection
- PDE-based histogram modification with embedded morphological processing of the level-sets
- Interpolation of 2D signals using cellular neural networks
- Adaptive image enhancement by using cellular neural networks
- Acoustic source localization using microphone arrays via CNN algorithms
- Objektumdetekción alapuló 3D echokardiográfia alkalmazása a gyermekkardiológiában
- Bio-inspired flight control and visual search with CNN technology
- Bonyolultság és egyszerűség analogikai hullám-számítógépekben és néhány idegi jelenség modelljében
- Sudden global spatial-temporal change detection and its applications
- Analysis of multidimensional neural activity via CNN-UM
Authors: Gál, V; Grün, S; Tetzlaff, RDate: 2003.
- Rejtett Markov modellek III. [Oktatási segédlet]
- Controlled Lyapunov-exponents with application in optimization, finance and biology
- Vision systems based on the 128x128 focal plane cellular visual microprocessor chips
- Enhanced emulated digital CNN-UM (CASTLE) arithmetic cores
Authors: Hídvégi, T; Keresztes, P; Szolgay, PDate: 2003.
- Fast and efficient multi-layer CNN-UM emulator using FPGA
- The new framework of applications: the Aladdin system
- Flexibly programmable opto-electronic analogic CNN computer (POAC) implementation applying an efficient, unconventional optical correlator architecture
- Analogic preprocessing and segmentation algorithms for offline handwriting recognition
Authors: Timár, G; Karacs, K; Rekeczky, TDate: 2003.
- Exploration of spatial-temporal dynamic phenomena in a 32
- Analogic CNN algorithms implementing pixel-level snakes: experiments for the ACE4k chip operating within the ACE-BOX computational infrastructure. (Research report of the Analogical and Neural Computing Laboratory DNS-7-2003.)
- Stability of multi-layer cellular neural/non-linear networks including a 2-layer complex cell CNN-UM
- Proactive, adaptive, cellular sensory-computer architecture via extending the CNN univesal machine
- An analogic diffusion-based algorithm for the segmentation of CT images
- Computational and computer complexity of analogic cellular wave computers. (Research report of the Analogical and Neural Computing Laboratory DNS-5-2003)
- Computational and computer complexity of analogic cellular wave computers
- The CNN universal machine: 10 years later
- Novel neuroradiological image processing and information retrieval in a telestroke system
- Multi-channel spatio-temporal topographic processing for visual search and navigation
- Two-wavelength POAC (Programmable Opto-Electronic Analogic Computer) using bacteriorhodopsin as dynamic holographic material
- Two-wavelength POAC (Programmable Opto-Electronic Analogic Computer) using bacteriorhodopsin as dynamic holographic material
- Feature guided visual attention with topographic array processing and neural network-based classification
- Properties of the adaptive integration formula to compute the CNN dynamic equations
- A two-dimensional CMOS sensor array. (Research report of the Analogical and Neural Computing Laboratory DNS-4-2004)
2002.- Configurable multi-layer CNN-UM emulator on FPGA using distributed arithmetic.
- Application of analogic CNN algorithms in telemedical neuroradiology.
- Colour space transformation and exact colour reproduction with CNN technology.
Authors: Kozma, P; Kránicz, B; Szolgay, PDate: 2002.
- An accelerated digital CNN-UM (CASTLE) architecture by using the pipe-line technique.
Authors: Hidvégi, T; Keresztes, P; Szolgay, PDate: 2002.
- Colour space transformation, colour correction and exact colour reproduction with CNN technology.
Authors: Kozma, P; Kránicz, B; Szolgay, PDate: 2002.
- Real time colour image processing using a CNN-UM implemented on FPGA.
- PDE based histogram modification with embedded morphological processing of the level-sets.
- Multi-target tracking with stored program adaptive CNN universal machines.
- Analogic preprocessing and segmentation algorithms for offline handwriting recognition.
- High speed programmable emulated digital logical CNN-UM array and its application.
Authors: Hidvégi, T; Keresztes, P; Szolgay, PDate: 2002.
- Configurable multi-layer CNN-UM emulator on FPGA.
- Gradient computation of continuous-time cellular neural/nonlinear networks with linear templates via the CNN universal machine.
- On the rectangular grid representation of general CNN networks.
- A behavioural modelling technique for visual microprocessor mixed-signal VLSI chips.
Authors: Földesy, P; Rodríguez-Vázquez, ÁDate: 2002.
- Toward visual microprocessors. Invited paper.
Authors: Roska, T; Rodríguez-Vázquez, ÁDate: 2002.
- CNN dynamics represents a broader class than PDEs.
Authors: Gilli, M; Roska, T; Chua, LO; Civalleri, PPDate: 2002.
- Some new analogic CNN algorithms for PCB quality control.
- Optimal path finding with space- and time-variant metric weights via multi-layer CNN.
Authors: Kim, H; Son, H; Roska, T; Chua, LODate: 2002.
- A CNN framework for modeling parallel processing in a mammalian retina.
- CNN architectures for constrained diffusion based locally adaptive image processing.
- Adaptive image sensing and enhancement using the cellular neural network universal machine.
Authors: Brendel, M; Roska, TDate: 2002.
- Statistical error modeling of CNN-UM architectures: The binary case.
- Image processing library for the ALADDIN visual computer.
- Rejtett Markov modellek III. [Oktatási segédlet]
- Rejtett Markov modellek II. [Oktatási segédlet]
- Initiation and tracking of DIM target via fusion of feature probabilities with CNN-UM.
Authors: Kim, H; Roska, T; Chua, LO; Werblin, FDate: 2002.
- New spatial-temporal patterns and the first programmable on-chip bifurcation test-bed.
- Evaluation of a new signal processing approach of high-resolution BSPM.
- The use of the SPSA method in ECG analysis.
- Discrete optimization, SPSA and Markov Chain Monte Carlo methods.
- Randomization methods in optimization and adaptive control.
- New methods for the statistical analysis of Hidden Markov models.
- Randomized iterative feedback tuning.
- CNN based color constancy algorithm.
- Supervised and unsupervised art-like classifications of binary vectors on the CNN universal machine.
- Basic mammalian retinal effects on the prototype complex cell CNN uiversal machine.
- Analogic cellular PDE machines.
- A realistic mammalian retinal model implemented on the complex cell CNN universal machine.
- Basic mammalian retinal effects on the prototype complex cell CNN uiversal machine.
- Programmable optical CNN implementation based on the template pixels' angular coding.
- Improvement of the method for uncoupled binary input-output CNN template decomposition.
- On the relationship between CNNs and PDEs.
Authors: Gilli, M; Roska, T; Chua, LO; Civalleri, PPDate: 2002.
- Moving object traking on panoramic images.
- Computational and computer complexity of analogic cellular wave computers.
- Risk sensitive identification of ARMA processes. (TRITA/MAT-02-OS04)
2001.- An emulated digital CNN-UM implementation on FPGA with programmable accuracy.
- Optimal path finding with space variant metric weights via multilayer CNN-UM.
Authors: Kim, H; Park, Y; Roska, T; Chua, LODate: 2001.
- Dependant distance potential source algorithm for optimal path finding with the analogic CNN.
Authors: Kim, H; Son, H; Roska, T; Chua, LODate: 2001.
- New spatial-temporal patterns and the first programmable on-chip bifurcation test-bed. (Research report of the Analogical and Neural Computing Laboratory DNS-6-2001.)
- 3D echocardiography powered by CNN technology.
- Cellular arrays.
- Calculating local and global PDEs by analogic diffusion and wave algorithms.
- Analogic cellular PDE machines. (Research report of the Analogical and Neural Computing Laboratory DNS-2-2001.)
- Some new analogic CNN algorithms for PCB quality control.
- Short circuit detection on printed circuit boards during the manufacturing process by using an analogic CNN algorithm.
- An analogic CNN algorithm - a switch implementation.
Authors: Beszteri, I; Bezák, T; Szolgay, PDate: 2001.
- Képfeldogozások alkalmazásának eredményei Magyarországon.
- A CNN model framework and simulator for biological sensory systems.
- An analogic CNN algorithm - a switch implementation. (Research report of the Analogical and Neural Computing Laboratory DNS-1-2001.)
Authors: Beszteri, I; Bezák, T; Szolgay, PDate: 2001.
- Behavioral modeling concept and practice of CNN-UM VLSI implementations.
Authors: Földesy, P; Rodíguez-Vázquez, ADate: 2001.
- A re-configurable arithmetic units of an emulated digital CNN-UM.
Authors: Hidvégi, T; Bezák, T; Keresztes, P; Szolgay, PDate: 2001.
- Interpolation of 2D signals using CNN.
- Computing on silicon with trigger-waves: experiments on CNN-UM chips.
- Locally adaptive image processing based on PDE and non-PDE related diffusion models. ( Research report of the Analogical and Neural Computing Laboratory DNS-3-2001)
- The mathematics of noise-free SPSA.
- Discrete optimization via SPSA. ( Working paper of the Laboratory of Operations Research and Decision Systems, (LORDS) WP 2001-7.)
- Discrete optimization via SPSA.
- Non-smooth optimization with randomization.
- Cellular Neural Networks and visual computing.
- Ökonometriai módszerek. Egyetemi jegyzet. (Econometric methods. Lecture notes.)
- Rejtett Markov modellek. Egyetemi jegyzet. (Hidden Markov models. Lecture Notes)
- A stochastic approximation method for noise-free optimization.
- ACE box: high-performance visual computer based on the ACE4k analogic array processor chip.
- An advanced joint Fourier transform correlator (JTC).
- Notes on the complexity of computations on analogic wave computers. (Research report of the Analogical and Neural Computing Laboratory DNS-8-2001.)
- AnaLogic wave computers - wave-type algorithms: canonical description, computer classes, and computational complexity.
- Dennis Gabor as the initiator of optical computing. Importance and prospects of optical computing and an optical implementation of the CCN-UM computer.
- Design aspects of an optical correlator based CNN implementation.
- Implementing a retinal visual language in CNN: a neuromorphic study.
- Programmable opto-electronic CNN implementation provides a new and powerful tool for image processing applications. (Research report of the Analogical and Neural Computing Laboratory DNS-9-2001.)
- Cellular Neural Networks: A paradigm for nonlinear spatio-temporal processing
2000.- Optimal CNN templates for deconvolution.
- Realization of non-linear templates using the CNNUC3 prototype.
Authors: Linán, G; Földesy, P; Rodríguez-Vázquez, A; Espejo, S; Dominguez-Castro, RDate: 2000.
- Implementation of non-linear templates using a decomposition technique by a 0.5mm CMOS CNN universal chip.
Authors: Linán, G; Földesy, P; Rodríguez-Vázquez, A; Espejo, S; Dominiguez-Castro, RDate: 2000.
- Robust optical flow detection based on the distance transform with the CNN nonlinear circuits.
Authors: Kim, H; Son, H; Roska, T; Chua, LODate: 2000.
- Application of direction constrained and bipolar waves for pattern recognition.
- On the rectangular grid representation of general CNN networks.
- Computing with waves: the analogic cellular computing paradigm for elecrons, photons, and molecules.
- Analogic computing: system aspects of analogic CNN sensor computers.
- A stored program 2nd order/3-layer complex cell CNN-UM.
- Collision prediction via the CNN universal machine.
- An analogic CNN algorithm for following continuously moving objects.
- Érzékelő számítógépek - távjelenlét.
- Morphology and autowave metric on CNN applied to Bubble-Debris classification.
- Hypothetical simulation of non-linear systems with memory, using an ideal computer with infinite speed and capacity.
- Analogikai celluláris számítógépek. Egy új számítógépelv.
- Adaptive image sensing and enhancement using the adaptive cellular neural network universal machine.
Authors: Brendel, M; Roska, TDate: 2000.
- Sructure reconfigurability of the CNNUC3 for robust template operation.
Authors: Földesy, P; Linán, G; Rodriguez-Vázquez, A; Espejo, S; Dominguez-Castro, RDate: 2000.
- Object oriented image segmentation on the CNNUC3 chip.
Authors: Földesy, P; Linan, G; Rodriguez-Vázquez, A; Espejo, S; Dominguez-Castro, RDate: 2000.
- Noise estimation and measures for detection of clustered microcalcifications.
Authors: Csapody, M; Petrányi, Á; Liszka, G; Zárándy, Á; Roska, TDate: 2000.
- Review of CMOS implementations of the CNN universal machine-type visual microprocessors.
Authors: Roska, T; Rodriguez-Vázquez, ADate: 2000.
- The implementation of a nonlinear wave metric for image analysis and classification on the 64x64 I/O CNN-UM chip.
- An optical robot path tracking system.
Authors: Szolgay, P; Katona, A; Kiss, ; Székely, L; Veress, ADate: 2000.
- Cellular neural networks for image deconvolution and enhancement: a microscopy toolkit.
Authors: Szirányi, T; Czúni, L; Nemes, LEditor: Roska, TDate: 2000.
- A CNN application development environment and toolkit, CADETWin.
Authors: Roska, T; László, K; Kék, L; Kozek, T; Nemes, L; Rekeczky, C; Szatmári, I; Zarándy, A; Zöld, S; Szolgay, PDate: 2000.
- A depth classification system.
- A development system for prototyping and interfacing CNN chips and for analogic algorithm design.
- CNN-UM architektúrák hibamodellezése és alkalmazhatóságuk kiterjesztése - modellezés, analízis és műveleti szintézis.
- SPSA in noise free optimization.
- Optical implementation of the CNN-UM computer and its realization with Fourier transform correlator (JTC).
- Nonlinear wave metric for object comparison on CNN architecture.
- A mammogram diagnostic workstation.
- CNN universal chips for solving problems in object-oriented dynamic image coding.
- An optical CNN implementation with stored programmability.
- A comparison of the different CNN implementations in solving the problem of spatiotemporal dynamics in mechanical systems.
Authors: Szolgay, P; Hídvégi, T; Szolgay, Z; Kozma, PDate: 2000.
- An analogic CNN engine board with the 64x64 analog I/O CNN-UM chip.
- Dennis Gabor as the initiator of optical computing: Importance and prospects of optical computing and an optical implementation of the CNN-UM computer.
- Futási eredmények az analogikai CNN-UM vizuális mikroprocesszorokon.
- The cellular neural network (CNN) and the CNN universal machine: concept, architecture and operation modes.
- CNN technology in action.
Authors: Zarándy, Á; Espejo, S; Földesy, P; Kék, L; Linán, G; Rekeczky, C; Rodriguez-Vázquez, A; Roska, T; Szatmári, I; Szirányi, T; Szolgay, PDate: 2000.
- 20 msec focal plane image processing.
- A CNN Univerzális Gép (CNNUM) mint bonyolult mérnöki számítások eszköze : téranalízis a mechanikában, minőségellenőrzés az elektronikában.
1999.- Általános CNN hálózatok reprezentációja négyzetes rácson. (Reserch report of the Analogcal and Neural Computing Laboratory, DNS-2-1999.)
- CNNUM stereo architecture and 3d template design techniques.
- Effects on the ganglion cell response nonlinear mapping on visual system's noise filtering characteristics.
- Effects of the synaptic transmission's dynamics on possible neural codes.
Authors: Orzó, L; Lábos, EDate: 1999.
- Hyperacuity in time: a CNN modell of a time-coding pathway of sound localization.
Authors: Lotz, K; Bölöni, L; Roska, T; Hámori, JDate: 1999.
- The difference-stereogram.
- Structural analysis of stereogramsfor CNN depth detection.
- Skeletonization and the shortest path problem - theoretical investigation and algorithms for CNN universal chips.
- CNN based spatio-temporal nonlinear filtering and endocardial boundary detection in echocardiography.
- Computing with front propagation: active contour and skeleton models in continuous-time CNN.
- Active contour and skeleton models in continous-time CNN.
- Video compression algorithms on the CNN visual microprocessor - early segmentation and basic motion estimation.
Authors: László, K; Ziliani, F; Roska, T; Kunt, MDate: 1999.
- An emulated digital CNN Implementation.
- An um CMOS analog random acces memory chip for TeraOPS speed multimedia video processing.
Authors: Carmona-Galán, R; Rodríguez-Vázquez, Á; Espejo-Meana, S; Domínguez-Castro, R; Roska, T; Kozek, T; Chua, LODate: 1999.
- Learning on CNN universal machine chips.
Authors: Carmona, R; Rodríguez-Vázquez, A; Domínguez-Castro, R; Espejo, S; Roska, TDate: 1999.
- Face and eye detection by CNN algorithms.
- Combination of adaptive resonance theory (ART) and cellular neural network (CNN) chips into a high-speed pattern recognition system. ( Research report of the Analogical and Neural Computing Laboratory, DNS-1-1999.)
- Adaptive simulated annealing in CNN template learning
Authors: Chandler, B; Rekeczky, CS; Nishio, Y; Ushida, ADate: 1999.
- Local contrast measures for detection of microalcifications. (Research report of the Analogical and Neural Computing Laborarory, DNS-3-1999)
- A new type of analogic CNN agorithmfor printed circuit board layout error detection.
- An analogic CNN algorithm for following continously moving objects. (Research report of the Analogical and Neural Computing Laboratory, DNS-8-1999.)
- Fault-tolerant design of analogic CNN templates and algorithms - Part I: The binary output case.
- Noise estimation and measures for detection of clustered microalcifications.
- Solving the shortest path problem in the CNN framework - a comparison of different approaches. (Research report of the Analogical and Neural Computing laboratory DNS-7-1999.)
- Towards computer-sensors by using the CNN-UM - via non-equilibrium algorithms.
- Optimization over discrete sets via SPSA.
Authors: Gerencsér, ZS; Hill, SD; Vágó, ZSDate: 1999.
- Optimization over discrete sets via SPSA.
- The art of CNN template design.
- CNN chip prototyping and development systems.
- Non-smooth optimization via SPSA.
- The algebra of risk-sensitive identification.
- CNN template dekompozíció - analogikai algoritmusok implementációjának egy lehetséges eszköze.
- Towards implementation of biologically inspired autonomous and adaptive information processing systems.
- Stochastic approximation for function minimization under quantization error.
- Adaptive control of multivariable linear stochastic systems. A strong approximation approach.
- CNN-based models for color vision and visual illusions.
- Multibeam 2D acousto-optic modulator combined with arrays of diffractive optical elements.
Authors: Tőkés, SZ; Kas, I; Paakkonen, P; Turunen, J; Kettunen, VDate: 1999.
- A nonlinear wave mertic and its CNN implementation for object classification.
- Very low bit-rate video coding using cellular neural network universal machine.
Authors: Slot, K; Chua, LO; Roska, TDate: 1999.
- Computer-sensors: spatial-temporal computers for analog array signals, dynamically integrated with sensors.
- The computational infrastructure of analogic CNN computing - Part I: The CNN-UM chip prototyping system.
- Anisotropic diffusion preprocessing for image compression improvement based on perceptual distortion criteria. (Research report of the Analogical and Neural Computing Laboratory, DNS-4-1999.)
- Object oriented motionsegmentation for video-compression in the CNN-UM.
Authors: Szirányi, T; László, K; Czúni, L; Ziliani, FDate: 1999.
- The computational infrastructure for cellular visual microprocessors.
Authors: Szolgay, P; Zarándy, Á; Zöld, S; Roska, T; Földesy, P; Kék, L; Kozek, T; László, K; Petrás, I; Rekeczky, CS; Szatmári, I; Bálya, DDate: 1999.
- Analogic algorithms for optical detection of breaks and short circuits on the layouts of printed circuits boards using CNN.
- The CADETWin application software design system - a tutorial.
Authors: Szolgay, P; László, K; Kék, L; Kozek, T; Nemes, L; Petrás, I; Rekeczky, CS; Szatmári, I; Zarándy, Á; Zöld, S; Roska, TDate: 1999.
- Celluláris neurális hálózatok és analogikai vizuális mikroprocesszorok - áttekintés.
- Dynamic spatio-temporal nonlinear filtering and detection on CNN architecture - theory, modeling and applications.
1998.- Analogic Macro Code (AMC). Extended assembly language for CNN computers. Version 1.1.(Research report of the Analogical and Neural Computing Laboratory, DNS-10-1998.)
- Implementation of large-neighbourhood non-linear templates on the CNN universal machine.
- Mammographiás szűrőállomásokhoz telepített analogikai munkahely adatkezelése.
- Early segmentation in video compression using CNN processors.
Authors: László, K; Ziliani, F; Roska, T; Kunt, MDate: 1998.
- Hyperacuity in time: a CNN model of a time-coding pathway of sound localization. (Research report of the Analogical and Neural Computing Laboratory, DNS-4-1998.)
Authors: Lotz, K; Bölöni, L; Roska, T; Hámori, JDate: 1998.
- Dynamics of synaptic transmission and neural code.
Authors: Orzó, L; Lábos, EDate: 1998.
- Prefiltering and classification CNN algorithms for a chromosome scoring and aberration detection system.
- Implementation of arbitrary Boolean functions on the CNN universal machine.
Authors: Nemes, L; Chua, LO; Roska, TDate: 1998.
- Analysis of time-varying cellular neural networks for quadratic global optimization
Authors: Gilli, M; Civalleri, PP; Roska, T; Chua, LODate: 1998.
- Fault tolerant design of analogic CNN templates and algorithms. Part I: The binary output case.(Research report of the Analogical and Neural Computing Laboratory, DNS-3-1998.)
- Some methods for practical halftoning on the CNN universal machine.
Authors: Crounse, KR; Roska, T; Chua, LODate: 1998.
- A 0.5mm CMOS CNN analog random access memory chip for massive image processing.
Authors: Carmona, R; Espejo, S; Dominguez-Castro, R; Rodriguez-Vázquez, A; Roska, T; Kozek, T; Chua, LODate: 1998.
- CNN algorithms in face detection systems. A review. (Research report of the Analogical and Neural Computing Laboratory, DNS-6-1998.)
- CNN feasibility study: document image processing.(Research report of the Analogical and Neural Computing Laboratory, DNS-8-1998.)
Authors: Crounse, KR; Roska, TDate: 1998.
- High speed calculation of cryptographic hash functions by CNN chips.
Authors: Csapodi, M; Vandewalle, J; Roska, TDate: 1998.
- Fault tolerant CNN template design and optimatization based on chip measurements.
- Invertible operations on a cellular neural network universal machine.
Authors: Csapodi, M; Vandewalle, J; Roska, TDate: 1998.
- CNN models of receptive field dynamics of the central visual system neurons.
- A CNN solution for depth estimation from binocular stereo imagery.
- An emulated digital architecture implementing the CNN universal machine.
- Image compression by cellular neural networks.
Authors: Venetianer, PL; Roska, TDate: 1998.
- On the chip implementation of analogic algorithms for optical detection of some layout errors of printed circuit boards.
- CASTLE: an emulated digital architecture; design issues, new results.
- Implementation of Binary and gray-scale mathematical morphology on the CNN universal machine.
- Risk-sensitive identification of ARMA processes
- SPSA for non-smooth optimization with application in ECG analysis.
- Texture classification and segmentation by cellular neural networks using genetic learning.
- The CNN implementation of wave type metric for image analysis and classification.
- CNN-based difference-controlled adaptive non-linear image filters.
- Computing with front propagation: evolving interfaces and active contour models in continuous-time CNN. (Research report of the Analogical and Neural Computing Laboratory, DNS-9-1998.)
- The difference-stereogram.( Research report of the Analogical and Neural Computing Laboratory, DNS-2-1998.)
- Analogic CNN computing : architectural, implementation, and algorithmic advances - a review.
- CNN computing infrastructure hosting nonlinear spatiotemporal algorithms - a review.
- Estimating optical flow with cellular neural networks.
Authors: Shi, BE; Roska, T; Chua, LODate: 1998.
- Spatio-temporal CNN algorithm for object segmentation and object recognition.
- Idősorok sztochasztikus modelljei. Oktatási segédlet. Egyetemi jegyzet
1997.- New results and measurements related to some tasks in object-oriented dynamic image coding using CNN universal chips.
- Detecting distances in a dynamic highway scenario via CNN.
- Real-time adaptive control of robot manipulators using cellular neural networks.
- LocRule user's guide. Version 2.2. ( Research report of the Analogical and Neural Computing Laboratory DNS-2-1997.)
Authors: Nemes, L; Chua, LO; Roska, TDate: 1997.
- MATCNN. Analogic CNN simulation toolbox for MATLAB. Version 1.0. (Research report of the Analogical and Neural Computing Laboratory, DNS-11-1997.)
- The use of CNN technology in echocardiography: spatio-temporal nonlinear filtering and contour detection. (Research report of the Analogical and Neural Computing Laboratory, DNS-7-1997.)
- Image segmentation and edge detection via constrained diffusion and adaptive morphology: a CNN approach to bubble/debris image enhancement.
- Implementation of large-neighborhood nonlinear templates on the CNN universal machine.
- Detecting lung cancer symptoms with analogic CNN algorithms based on a constrained diffusion template.
Authors: Hirakawa, S; Rekeczky, CS; Nishio, Y; Ushida, A; Roska, T; Ueno, J; Kasem, I; Nishitani, HDate: 1997.
- Applications of CNN-UM chips in multimedia authentication. In: Research report of the Department of Electrical Engineering, ESAT-COSIC / TR 97-1.
Authors: Csapody, M; Preneel, B; Vandevalle, J; Roska, TDate: 1997.
- Pattern learning in cellular neural networks using adaptive simulated annealing.
Authors: Chandler, B; Rekeczky, CS; Nishio, Y; Ushida, ADate: 1997.
- CNN univerzális számítógépek alkalmazása: térbeli logika, színek és illúziók.
- On additive cellular automata in one and two dimensions.
Authors: Csapody, M; Vandervalle, J; Roska, TDate: 1997.
- 0.8-?m CMOS two-dimensional programmable mixed-signal focal-plane array processor with on-chip binary imaging and instructions storage.
- A CNN engine board.
- Feature detection in noisy images with cellular neural networks.
Authors: Fajfar, I; Bratkovic, F; Szolgay, PDate: 1997.
- Implementation of CNN computing technology.
- Space variant adaptive CNN - fault tolerance and plasticity.
- Analogic mammogram diagnostic workstation boosted up with cellular neural networks. Version 1.1. (Research report of the Analogical and Neural Computing Laboratory, DNS-3-1997.)
- Functional measurements of the first analog input/output CNN universal chip. (Research report of the Analogical and Neural Computing Laboratory, DNS-4-1997.)
- The art of CNN template design.(Research report of the Analogical and Neural Computing Laboratory, DNS-8-1997.)
- Celluláris és neurális áramkörök alkalmazása mammogramok kiértékelésében.
- Mammogram and echocardiogram analysis by using cellular neural network technology.
- Excitation and performance in continuous-time stochastic adaptive LQ-control.
- CNN template design strategies and fault tolerant CNN template design - a survey.
- A fast fixed point learning method to implement associative memory on CNN's.
- Toward the application of an analog input dual output CNNNUM chip in transient analysis of mechanical vibrating systems.
Authors: Szolgay, P; Sályi, I; Szolgay, ZSDate: 1997.
- Object-oriented image analysis for very-low-bitrate video-coding systems using the CNN universal machine.
Authors: Stoffels, A; Roska, T; Chua, LODate: 1997.
- Very low bit-rate video coding using cellular neural network universal machine. ( Memorandum of the Electronics Research Laboratory, UCB/ERL M97/46.)
Authors: Slot, K; Chua, LO; Roska, TDate: 1997.
- Ultra fast image processing via CNN technology.
- Minimal wire width violation detection on layouts of printed circuit boards by using a CNN universal machine chip. ( Research report of the Department of Image Processing and Neurocomputing IPNC-1-1997.)
Authors: Szántó, Z; Szüreti, G; Tömördi, K; Szolgay, PDate: 1997.
- Bubble-debris classification via binary morphology and autowave metric on CNN.
- Image segmentation using Markov random field model in fully parallel cellular network architectures.( Research report of the Analogical and Neural Computing Laboratory, DNS-9-1997.)
Authors: Szirányi, T; Zerubia, J; Czúni, L; Geldreich, D; Kató, ZDate: 1997.
- Image compression by orthogonal decomposition using cellular neural network chips.
Authors: Szirányi, T; Czúni, LEditor: Szirányi, TDate: 1997.
- High accuracy stochastic adaptive control with applications to master-slave tele-micro-surgical robots.
1996.- Multi-scale image analysis on the CNN universal machine.
Authors: Kozek, T; Crounse, KR; Roska, T; Chua, LODate: 1996.
- A double time-scale CNN for solving two-dimensionalnavier-stokes equations.
- Feature extraction of postage stamps using an iterative approach of CNN.
Authors: Kishida, J; Rekeczky, CS; Nishio, Y; Ushida, ADate: 1996.
- Real-time adaptive control of robot manipulators using Cellular Neural Networks. ( Research report of the Analogical and Neural Computing Laboratory DNS-10-1996.)
- New results and measurements related to dynamic image coding using CNN universal chips. (Memorandum of the Electronics Research Laboratory, UCB/ERL M96/58)
- A Cellular Neural Network model of the time-coding pathway of sound localization-hyperacuity in time.
Authors: Lotz, K; Bölöni, L; Roska, T; Hámori, JDate: 1996.
- CNN model of the feature-linked synchronized activities in the visual thalamo-cortical system.(Research report of the Neuromorphic Information Technology Graduate Center. NIT-2-1966.)
- CNN model of the feature-linked synchronized activities in the visual thalamo-cortical system.
- Analogic CNN algorithms for 3D interpolation-approximation and object rotation using controlled switched templates.
- Cellular Neural Network realizations of neuron models with diverse spiking patterns.
Authors: Lotz, K; Jacobs, A; Wandewalle, J; Werblin, F; Roska, T; Vidnyánszky, L; Hámori, JDate: 1996.
- Implementation of large-neighborhood nonlinear templates on the CNN universal machine. ( Research report of the Analogical and Neural Computing Laboratory, DNS-7-1996.)
- Methods for constructing physiologically motivated neuromorphic models in CNNs.
Authors: Jacobs, A; Roska, T; Werblin, FDate: 1996.
- Dynamic analogic CNN algorithms for a complex recognition task - a first step towards a bionic eyeglass.
Authors: Csapodi, M; Roska, TDate: 1996.
- Adaptive histogram equalization with Cellular Neural Networks.
Authors: Csapodi, M; Roska, TDate: 1996.
- CNN universal chips crank up the computing power
- CNN template optimization by adaptive simulated annealing.
Authors: Chandler, B; Rekeczky, CS; Nishio, Y; Ushida, ADate: 1996.
- An embedded use of 2D cryptography schemes in video coding using the CNN universal marchine architecture. Part 1: 2D cryptography via CNN - an introduction. (Research report of the Analogical and Neural Computing Laboratory, DNS-12-1996.)
Authors: Csapodi, M; Roska, T; Wandewalle, JDate: 1996.
- Improving the noisy feature detection capability of feedforward Cellular Neural Networks by introducing don't- care template elements.
- Global optimization through time-varying Cellular Neural Networks.
Authors: Gilli, M; Civalleri, PP; Roska, T; Chua, LODate: 1996.
- Real-life application case studies using CMOS 0.8 mm CNN universal chip: analogic algorithm for motion detection and texture segmentation.
- ACE: A digital floating point CNN emulator engine.
Authors: Fehér, B; Szolgay, P; Roska, T; Radványi, AG; Szirányi, T; Csapodi, M; László, K; Nemes, L; Szatmári, I; Tóth, G; Venetianer, PLDate: 1996.
- Spatial depth extraction using random stereograms in analogic CNN framework.
- CNN based self-adjusting nonlinear filters.
- Distance preserving 1D turing-pattern models via CNN, implementing of complex-valued CNN, and solving a simple inverse pattern problem (detection).( Research report of the Analogical and Neural Computing Laboratory, DNS-3-1996.)
- Distance preserving 1D turing-wave models via CNN, implementation of complex-valued CNN and solving a simple inverse pattern problem (detection).
- Improved scoring and semi-automatic screening of human peripheral blood chromosomes by CNN visual system.
- Test results in an experimental system for optical detection of layout errors of printed circuit boards using CNN.( Research report of the Department of Image Processing and Neurocomputing, IPCN-1-1996.)
- Analogue combinatorics and cellular automata - key algorithms and layout design.
- Image compression by CNN.
Authors: Venetianer, PL; Roska, TDate: 1996.
- Spatial logic algorithm using basic morphological analogic CNN operators.
- Morphological operators on the CNN universal machine.
- Implementation of binary and gray-scale mathematical morphology on the CNN universal machine. ( Memorandum of the Electronics Research Laboratory, UCB/ERL M96/19)
- CNN model for identifying colors under different illumination condition via Land's experiments.
- Robot control functions using CNN chips with on-chip optical input.
Authors: Szolgay, P; Katona, A; Kiss, ; Székely, L; Veress, ADate: 1996.
- Optical detection of breaks and short circuits on the layouts of printed circuit boards using CNN.
- An object-oriented approach to video coding via the CNN universal machine.
Authors: Stoffels, A; Roska, T; Chua, LODate: 1996.
- CNN chip set architectures and the visual mouse.
- Image segmentation by soft computing on the CNN universal machine - a case study of echocardiography.
- CNN based self-adjusting nonlinear filters.(Research report of the Analogical and Neural Computing Laboratory, DNS-4-1996.)
- On object-oriented video coding using the CNN universal machine.
Authors: Stoffels, A; Roska, T; Chua, LODate: 1996.
- Objectumorientált képanalízis CNN univeerzális gép felhasználásával.
Authors: Stoffels, A; Roska, T; Chua, LODate: 1996.
- On the detection of critical frequencies of a tool machine.
- The first steps toward the application of the CNN chips.
- A fast learning method to implement associative memory of CNNs.(Research report of Analogical and Neural Computing Laboratory, DNS-9-1996.)
- Information theoretical approach to LEQG-optimal stochastic control and H-infinity optimal control. In: Technical Report of the Systems and Controls Laboratory, SCL - 001 - 1996.
1995.- A CNN model of the time-coding pathway of sound localization - hyperacuity in time. (Research report of the Neuromorphic Information Technology, Graduate Center. NIT-4-1995.)
Authors: Lotz, K; Bölöni, L; Roska, T; Hámori, JDate: 1995.
- An analogic phenomenological CNN algorithm to model the mouth detection task of the inferotemporal cortex discovered by I. Fujita
- Analogic CNN models of some qualitative pattern recognition tasks in the inferotemporal cortex. (Research report of the Neuromorphic Information Technology, Graduate Center. NIT-1-1995.)
- Mammogram analysis using CNN algorithms
- Analogic CNN algorithm for object rotation using controlled switched templates. (Research report of the Analogical and Neural Computing Laboratory DNS-3-1995.)
- A CNN model of oscillation and chaos in ant colonies: a case study
- Diminishment and enlargement of binary pictures using slightly space variant cellular neural network architecture
- CNN based adaptive smoothing and some novel types of nonlinear operators for grey-scale image processing
- Analogic CNN algorithms in bronchogenic carcinoma analysis
- Random stereograms in analogic CNN framework - depth detection. (Research report of the Analogical and Neural Computing Laboratory DNS-6-1995.)
- Smart image scanning algorithms for the CNN universal machine
Authors: Kozek, T; Crounse, KR; Roska, T; Chua, LODate: 1995.
- Simulating nonlinear waves and partial differential equations via CNN. Part 2. Typical examples. (Research report of the Analogical and Neural Computing Laboratory DNS-10-1995.)
Authors: Kozek, T; Chua, LO; Roska, T; Wolf, D; Tetzlaff, R; Puffer, FDate: 1995.
- Dynamic analogic CNN algorithms for a complex recognition task - a first step a bionic eyeglass. (Research report of the Analogical and Neural Computing Laboratory DNS-4-1995.)
Authors: Csapodi, M; Roska, TDate: 1995.
- The world of analogic CNN spatiotemporal dynamics - a review
- Stored program cellular neural networks - an introduction
Authors: Chua, LO; Roska, T; Kozek, TDate: 1995.
- Cellular neural networks - a tutorial on programmable nonlinear dynamics in space
Authors: Chua, LO; Roska, T; Kozek, TDate: 1995.
- Cellular neural networks. Part 1. From a single cell to a supercomputer - a tutorial
- Cellular neural networks. Part 2. Application examples - a tutorial
- Simulating nonlinear waves and partial differential equations via CNN. Part 2. Typical examples
Authors: Kozek, T; Chua, LO; Roska, T; Wolf, D; Tetzlaff, R; Puffer, FDate: 1995.
- An iterative approach of CNN to image processing - feature extraction of postage stamps
Authors: Kishida, J; Rekeczky, CS; Nishio, Y; Ushida, ADate: 1995.
- A CNN platform to a discrete-time cellular neural network universal machine chip. (Research report of the Analogical and Neural Computing Laboratory DNS-12-1995.)
- Rotation invariant detection of moving and standing objects using analogic cellular neural network algorithms based on ring codes
- Analogic CNN algorithms and applications - chip-development system and case studies
- Analogic CNN algorithms for some image compression and restoration tasks
Authors: Venetianer, PL; Werblin, F; Roska, T; Chua, LODate: 1995.
- Analogic CNN algorithm for 3D interpolation-approximation. Research report of the Analogical and Neural Computing Laboratory DNS-2-1995.)
- A new learning algorithm to implement associative memory on CNN. (Research report of the Analogical and Neural Computing Laboratory DNS-8-1995.)
- A fast learning method to implement associative memory on CNN
- Image compression by CNN. (Research report of the Analogical and Neural Computing Laboratory DNS-13-1995.)
Authors: Venetianer, PL; Roska, TDate: 1995.
- The analogic cellular neural network as a bionic eye
Authors: Werblin, F; Roska, T; Chua, LODate: 1995.
- Parametric uncertainty and control performance in stochastic adaptive control
- Spatial logic algorithms using analogic CNN instructions and its use in bank-note recognition. (Research report of the Analogical and Neural Computing Laboratory DNS-5-1995.)
- Intelligent image resolution enhancement by the CNN universal machine and its relevance to TV picture enhancement
- Robustness of cellular neural networks in image deconvolution and texture segmentation. (Research report of the Analogical and Neural Computing Laboratory DNS-7-1995.)
- Cellular neural networks for image deconvolution and enhancement: a microscopy toolkit. (Research report of the Analogical and Neural Computing Laboratory DNS-11-1995.)
- The CNN universal machine - a summary of an analogic supercomputer chip architecture for very high speed visual processing
- The CNN universal machine - a host for the application of analogic algorithms
- Classes of analogic CNN algorithms and their practical use in complex image processing tasks
- Analogic CNN program library version 6.2. (Research report of the Analogical and Neural Computing Laboratory DNS-7-1995.)
- On a framework of complexity of computations on flows - implemented on the CNN universal machine. (Research report of the Analogical and Neural Computing Laboratory DNS-15-1995.)
- Simulating nonlinear waves and partial differential equations via CNN. Part 1. Basic techniques
Authors: Roska, T; Chua, LO; Wolf, D; Kozek, T; Tetzlaff, R; Puffer, FDate: 1995.
- Cellular neural networks for image deconvolution and enhancement: a microscopy toolkit
- Translating neuromorphic CNN visual models to the analogic visual microprocessors
- Simulating nonlinear waves and partial differential equations via CNN. Part 1. Basic techniques. (Research report of the Analogical and Neural Computing Laboratory DNS-9-1995.)
Authors: Roska, T; Chua, LO; Wolf, D; Kozek, T; Tetzlaff, R; Puffer, FDate: 1995.
- Performance of a minimum variance adaptive controller with noise injection
1994.- Rotation invariant detection of the objects using analogic cellular neural network algorithms
- Solution of stereo correspondence in real scene: an analogic CNN algorithm
- Deblurring of images by cellular neural networks with applications to microscopy
- Analogic algorithms running on the CNN universal machine
- Analogic cellular neural network processing
- Solving partial differential equations by CNN. (Research report of the Analogical and Neural Computing Laboratory. DNS-2-1994.)
Authors: Roska, T; Wolf, D; Kozek, T; Tetzlaff, R; Chua, LODate: 1994.
- On a CNN chip-prototyping system
- The CNN universal chip: performance and domains of applications
- Some cortical spiking neuron models using CNN
Authors: Lotz, K; Vidnyánszky, Z; Roska, T; Vandewalle, J; Hámori, J; Jacobs, A; Werblin, FDate: 1994.
- Enhancing X-ray mammograms by analogic CNN operations: some experiments. (Neuromorphic Information Technology, Graduate Center report NIT-2-1994.)
- A current-mode DTCNN universal chip
Authors: Harrer, H; Nossek, JA; Roska, T; Chua, LODate: 1994.
- Some novel analogic CNN algorithms for object rotation, 3D interpolation-approximation, and a "door-in-a-floor" problem
- A fast, complex and efficient test implementation of the CNN universal machine
Authors: Cruz, JM; Chua, LO; Roska, TDate: 1994.
- Some examples of preprocessing analog images with discrete-time cellular neural networks
Authors: Harrer, H; Venetianer, PL; Nossek, JA; Roska, T; Chua, LODate: 1994.
- Techniques for constructing physiologically motivated neuromorphic models in CNN
Authors: Jacobs, A; Roska, T; Werblin, FDate: 1994.
- A double time-scale CNN for solving 2-D Navier-Stokes equations
- On some limits of XILINX based control logic implementations
- Random variations in CNN templates: theoretical models and empirical studies
Authors: Shi, BE; Wendsche, S; Roska, T; Chua, LODate: 1994.
- Texture classification and segmentation by cellular neural network using genetic learning. (Research report of the Analogical and Neural Computing Laboratory. DNS-6-1994.)
- Novel types of analogic CNN algorithms for recognizing bank-notes
- Novel types of analogic CNN algorithms for recognizing bank-notes. (Memorandum UCB/ERL M94/29.)
- Design of analogic CNN algorithms for mammogram analysis
- Balancing for identification and control
- Fixed-gain estimation in continuous time
- Stochastic complexity in identification of continuous time system
- High sampling rate identification of continuous time system
- The analogic cellular neural network as a bionic eye.(Memorandum UCB/ERL M94/70.)
Authors: Werblin, F; Roska, T; Chua, LODate: 1994.
- Analogic CNN algorithms for some image compression and restoration tasks. (Memorandum UCB/ERL M94/30.)
Authors: Venetianer, PL; Werblin, F; Roska, T; Chua, LODate: 1994.
- Transient response computation of a mechanical vibrating system using cellular neural networks
- An experimental system for path tracking of a robot using a 16*16 connected component detector CNN chip with direct optical input
Authors: Szolgay, P; Katona, A; Erőss, GY; Kiss, Date: 1994.
- Texture classification by cellular neural network and genetic learning
- Parallel analog image coding and decoding by using cellular neural networks
Authors: Tanaka, M; Crounse, KR; Roska, TDate: 1994.
- ACL (an analogical CNN language) Version 2.0. User's manual. (Research report of the Analogical and Neural Computing Laboratory. DNS-3-1994.)
- Analog combinatorics and cellular automata - key algorithms and layout design
- Analog combinatorics and cellular automata - key algorithms and layout design. (Research report of the Analogical and Neural Computing Laboratory. DNS-7-1994.)
- Stochastic complexity, selftuning and optimality
1993.- Genetic algorithm for CNN template learning
Authors: Kozek, T; Roska, T; Chua, LODate: 1993.
- On the minimal covering of infinite sets
- A multilayer cellular neural network model of the two pathways of the retina related to dark adaptation. (Katholieke Universiteit Leuven. Department Elektrotechniek. ESAT-SISTA/TR 1993-33I)
Authors: Lotz, K; Vandewalle, J; Roska, TDate: 1993.
- A framework for the classification of auditory signals with cellular neural networks
Authors: Osuna, JA; Moschytz, GS; Roska, TDate: 1993.
- Hypothetical simulation of non-linear systems with memory, on an idealistic computer of infinite speed and capacity (Research report of the Dual and Neural Computing Systems Laboratory DNS-2-1993)
- A framework for the classification of auditory signals with cellular neural networks (Research report of the Dual and Neural Computing Systems Laboratory DNS-3-1993.)
Authors: Osuna, JA; Moschytz, GS; Roska, TDate: 1993.
- On some limits of XILINX based control logic implementations (Report. University of Veszprém. Department of Informatics and Automation. IT-2-1993)
- On biological sensory information processing principles relevant to cellular neural networks
Authors: Heiligenberg, W; Roska, TDate: 1993.
- The CNN is universal as the turing machine
Authors: Chua, LO; Roska, T; Venetianer, PDate: 1993.
- The analogic CNN paradigm - programmable nonlinear dynamics in space
- The CNN paradigm
- The CNN paradigm - a short tutorial
- CNN implementation of Kohonen type self- organizing networks (Research report of the Dual and Neural Computing Systems Laboratory DNS-5-1993)
- Image halftoning with cellular neural networks
Authors: Crounse, KR; Roska, T; Chua, LODate: 1993.
- Using cellular neural network to "see" random-dot stereograms
- Using CNN to "see" random-dot stereograms - dual CNN models of stereo vision
- Design of linear cellular neural networks for motion sensitive filtering
Authors: Shi, BE; Roska, T; Chua, LODate: 1993.
- The use of CNN models in the subcortical visual pathway
- High-speed character recognition using a dual cellular neural network architecture (CNND)
- Texture detection by cellular neural network using genetic learning (Research report of the Dual and Neural Computing Systems Laboratory DNS-8-1993)
- A CNN model of the feed-forward part of the LGN (Research report of the Dual and Neural Computing Systems Laboratory DNS-6-1993)
Authors: Vidnyánszky, Z; Venetianer, PL; Takács, J; Hámori, J; Roska, TDate: 1993.
- On the applications of the cellular neural network paradigm in mechanical vibrating systems
Authors: Szolgay, P; Vörös, G; Erőss, GYDate: 1993.
- Stability of cellular neural networks with dominant nonlinear and delay-type templates
Authors: Roska, T; Wu, CW; Chua, LODate: 1993.
- Solving partial differential equations by CNN (Research report of the Dual and Neural Computing Systems Laboratory DNS-4-1993)
Authors: Roska, T; Kozek, T; Wolf, D; Chua, LODate: 1993.
- The CNN universal machine: an analogic array computer
- CNN models in the retinotopic visual pathway - a review
- Color image processing by CNN
- Language, compiler, and operating system for the CNN supercomputer. Memorandum UCB/ERL M93/34
- Solving partial differential equations by CNN
Authors: Roska, T; Kozek, T; Wolf, D; Chua, LODate: 1993.
- Varifocal lens for multi-beam laser scanning
1992.- A dual CNN model of cyclopean perception and its application potentials in artifical stereopsis
- CNNM multi-layer cellular neural network simulator.Version 2.4. 1992. User's guide. (Reseach report of the Dual and Neural Computing Systems Laboratory DNS-12-1992.)
- CNNHAC cellular neural network simulator using hardware accelerator board. (Reseach report of the Dual and Neural Computing Systems Laboratory DNS-11-1992.)
- The CNN workstation. (Reseach report of the Dual and Neural Computing Systems Laboratory DNS-10-1992.)
- Using CNN to "see" random-dot stereograms - dual CNN models of stereo vision. (Reseach report of the Dual and Neural Computing Systems Laboratory DNS-7-1992.)
- Cellular neural networks with nonlinear and delay-type template elements
- The CNN universal machine and supercomputer. (Reseach report of the Dual and Neural Computing Systems Laboratory DNS-18-1992.)
- CNN: a paradigm for cellular analog programmable 3D processor arrays with distributed logic and memory
- Cellular neural networks with non-linear and delay-type template elements and non-uniform grids
- Cellular neural networks: theory and circuit design
Authors: Nossek, JA; Seiler, G; Roska, T; Chua, LODate: 1992.
- Genetic algorithm for CNN template learning. (Memo UCB/ERL No. M92/82.)
Authors: Kozek, T; Roska, T; Chua, LODate: 1992.
- Some novel capabilities of CNN. Game of life and examples of multipath algorithms. (Reseach report of the Dual and Neural Computing Systems Laboratory DNS-3-1992.)
- Some novel capabilities of CNN: Game of life and examples of multipath algorithms
- The CNN universal machine Part 1: The architecture
- Cell placement of almost regular structures
- Optical tracking system for automatic guided vehicles using cellular neural networks
- On biological sensory information processing principles relevant to dually computing CNNs. (Reseach report of the Dual and Neural Computing Systems Laboratory DNS-4-1992.)
Authors: Heiligenberg, W; Roska, TDate: 1992.
- Programmable analogue VLSI CNN chip with local digital logic
Authors: Halonen, K; Porra, V; Roska, T; Chua, LODate: 1992.
- Optical tracking system for automatic guided vehicles using cellular neural networks. (Reseach report of the Dual and Neural Computing Systems Laboratory DNS-15-1992)
- The CNN universal machine Part 2: Programmability and applications
- Detecting moving and standing objects using cellular neural network
- Subpixel pattern recognition by image histograms (Reseach report of the Dual and Neural Computing Systems Laboratory DNS-5-1992.)
- Optically realized feedforward-only cellular neural networks
Authors: Slot, K; Roska, T; Chua, LODate: 1992.
- The use of CNN models in the visual parthway. Part II: The amacrine cell in the modified retina model, simple LGN effects and motion related illusions. (Reseach report of the Dual and Neural Computing Systems Laboratory DNS-9-1992.)
- An experimental system for optical detection of layout errors of printed circuit boards using learned CNN templates
Authors: Szolgay, P; Kispál, I; Kozek, TDate: 1992.
- An experimental system for optical detection of layout errors using analog software on a dual CNN (Reseach report of the Dual and Neural Computing Systems Laboratory DNS-14-1992.)
Authors: Szolgay, P; Kispál, I; Kozek, TDate: 1992.
- A strong approximation theorem for parameter estimators in continuous time
- A two-layer Radon transform cellular neural network
Authors: Wu, CW; Chua, LO; Roska, TDate: 1992.
- Template synthesis of cellular neural networks for information coding and decoding
Authors: Tanaka, M; Crounse, KR; Roska, TDate: 1992.
- The use of CNN models in the subcortical visual pathway. (Reseach report of the Dual and Neural Computing Systems Laboratory DNS-16-1992)
- Stability of cellular neural networks with dominant nonlinear and delay-type templates. (Memo UCB/ERL No. M92/121.)
Authors: Roska, T; Wu, CW; Chua, LODate: 1992.
- DUALCOMP dual CNN compiler to CNN-HAC1 board. Version 2.0. 1992. User's guide
- The dual CNN analog software - a programmable analog, nonlinear, dynamic, 3D computing array plus logic to form a "multi-screen theater" on silicon. (Reseach report of the Dual and Neural Computing Systems Laboratory DNS-2-1992.)
- A digital multiprocessor hardware accelerator board for cellular neural networks: CNN-HAC
- Egyetem - Akadémia együtt!
- Forming an information technology department in turbulent times
- Stability and dynamics of delay-type general and cellular neural networks
Authors: Roska, T; Wu, CW; Balsi, M; Chua, LODate: 1992.
- Programmable cellular neural networks - a state-of-the-art. (Reseach report of the Dual and Neural Computing Systems Laboratory DNS-1-1992.)
- Programmable cellular neural networks a state-of-the-art
- Analise II. [egyetemi jegyzet]
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