- Péter Szolgay, doctor of HAS, research advisor
Publications[ order by time]
[ order by categories ]
[ order by authors]
Book- An analogic CNN algorithm - a switch implementation. (Research report of the Analogical and Neural Computing Laboratory DNS-1-2001.)
- An analogic CNN algorithm for following continously moving objects. (Research report of the Analogical and Neural Computing Laboratory, DNS-8-1999.)
- 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.)
- Functional measurements of the first analog input/output CNN universal chip. (Research report of the Analogical and Neural Computing Laboratory, DNS-4-1997.)
- 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, PDepartment: Cellular Sensory and Optical Wave Computing LaboratoryDate: 1997.Published by: 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.) (Page: 9)
- Real-time adaptive control of robot manipulators using Cellular Neural Networks. ( Research report of the Analogical and Neural Computing Laboratory DNS-10-1996.)
- A fast learning method to implement associative memory of CNNs.(Research report of Analogical and Neural Computing Laboratory, DNS-9-1996.)
- 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.)
Authors: Szolgay, P; Tömörödi, KDepartment: Cellular Sensory and Optical Wave Computing LaboratoryDate: 1996.Published by: 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.) (Page: 6)
- 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.)
- A new learning algorithm to implement associative memory on CNN. (Research report of the Analogical and Neural Computing Laboratory DNS-8-1995.)
- Analog combinatorics and cellular automata - key algorithms and layout design. (Research report of the Analogical and Neural Computing Laboratory. DNS-7-1994.)
- On some limits of XILINX based control logic implementations (Report. University of Veszprém. Department of Informatics and Automation. IT-2-1993)
- CNN implementation of Kohonen type self- organizing networks (Research report of the Dual and Neural Computing Systems Laboratory DNS-5-1993)
- 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, TDepartment: Cellular Sensory and Optical Wave Computing LaboratoryDate: 1992.Published by: 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.) (Page: 18)
Book chapter- Real-time multi-finger tracking in 3D for a mouseless desktop.
- 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, PDepartment: Cellular Sensory and Optical Wave Computing LaboratoryDate: 2000.Published by: Towards the visual microprocessor. VLSI design and the use of cellular neural network universal machines. (Page: 39-58)
- A development system for prototyping and interfacing CNN chips and for analogic algorithm design.
- An optical robot path tracking system.
Conference issue- Efficient mapping of mathematical expressions to FPGAs: Exploring different design methodologies.
- Mapping of high performance data-flow graphs into programmable logic devices.
- An improved emulated digital CNN architecture for high performance FPGAs.
- A CNN motivated array computing model.
- Variational computing based segmentation methods for medical imaging by using CNN.
- 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.
- Towards a gesture based human-machine interface: fast 3D tracking of the human fingers on high speed smart camera computers.
- Experimental result on supersonic flow simulation on emulated digital CNN-UM.
- A standalone FPGA based emulated-digital CNN-UM system.
- Application of cellular wave computers in high speed real-time processing: measurements of a finger tracking algorithm for human-machine interface.
- An advanced real-time, multi-channel emulated-digital retina model implementation on FPGA.
- Two-dimensional compressible flow simulation on emulated digital CNN-UM.
- FPGA based emulated-digital CNN-UM implementation with GAPU.
- Emulated digital CNN-UM on different kind of array processors.
- Toward exploitation of cell multi-processor array in time-consuming applications by using CNN model.
- CNN model on cell multiprocessor array.
- CNN-UM based transversely isotropic elastic wave propagation simulation.
- Emulated digital CNN solution for two dimensional compressible flows.
- Vision based human-machine interface via hand gestures.
- Implementation of nonlinear template runner emulated digital CNN-UM on FPGA
- A CNN implementation of the Horn and Schunk motion estimation method
- CNNUM-based methods using deformable contours on smooth boundaries
- An advanced emulated digital retina model on FPGA to implement a real-time test environment
- Grasp planning based on fingertip contact forces and torques
- 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
- Complex computational problems in cellular architectures
- FPGA based implementation of water reinjection in geothermal structure
- Elastic wave propagation modeling on emulated digital CNN-UM architecture
- Hardware and software environment for a tactile sensor array
- An emulated digital retina model implementation on FPGA
- Image inpainting methods by using cellular neural networks
- Mammalian retina model implementation on emulated digital FPGA
Authors: Nagy, Z; Vörösházi, Zs; Szolgay, PDepartment: Cellular Sensory and Optical Wave Computing LaboratoryDate: 2005.Published by: Joint Hungarian-Austrian conference on image processing and pattern recognition. 5th conference of the Hungarian Association for Image Processing and Pattern Recognition (KÉPAF), 29th workshop of the Austrian Association for Pattern Recognition (OAGM/AAPR). Veszprém, 2005. (Page: 295-302)
- Various implementations of topographic, sensory, cellular wave computers
- Inverse elastic wave propagation modeling on CNN-UM architecture
- Analogic CNN algorithms for textile quality control based on optical and tactile sensory inputs
- Low-cost CNN-UM global analogic programming unit implementation on FPGA
- A variational method for image denoising, by using cellular neural networks
- Seismic wave propagation modeling on emulated digital CNN-UM architecture
- Emulated digital CNN-UM implementation of a barotropic ocean model
- Morphological and wave segmentation by cellular neural networks
- Tactile sensor modeling by using emulated digital CNN-UM
- Elementary CNN algorithms and an experimental system for typical tactile actions
- Adaptive image enhancement by using cellular neural networks
- Interfacing the CASTLE emulated digital array processor to the ALADDIN system
- Numerical solution of a class of PDEs by using emulated digital CNN-UM on FPGAs
- Novel neuroradiological image processing and information retrieval in a telestroke system
- An analogic diffusion-based algorithm for the segmentation of CT images
- An accelerated digital CNN-UM (CASTLE) architecture by using the pipe-line technique.
- Configurable multi-layer CNN-UM emulator on FPGA.
- Colour space transformation and exact colour reproduction with CNN technology.
- Application of analogic CNN algorithms in telemedical neuroradiology.
- High speed programmable emulated digital logical CNN-UM array and its application.
- Colour space transformation, colour correction and exact colour reproduction with CNN technology.
- Real time colour image processing using a CNN-UM implemented on FPGA.
- Configurable multi-layer CNN-UM emulator on FPGA using distributed arithmetic.
- Interpolation of 2D signals using CNN.
- An analogic CNN algorithm - a switch implementation.
- A re-configurable arithmetic units of an emulated digital CNN-UM.
- An emulated digital CNN-UM implementation on FPGA with programmable accuracy.
- Short circuit detection on printed circuit boards during the manufacturing process by using an analogic CNN algorithm.
Authors: Hidvégi, T; Szolgay, PDepartment: Cellular Sensory and Optical Wave Computing LaboratoryDate: 2001.Published by: Engineering of intelligent systems. 14th international conference on industrial and engineering applications of artificial intelligence and expert systems, IEA/AIE. Proceedings. Budapest, 2001. (Lecture notes in artificial intelligence 2070.) (Page: 494-501)
- Some new analogic CNN algorithms for PCB quality control.
- An analogic CNN algorithm for following continuously moving objects.
- A comparison of the different CNN implementations in solving the problem of spatiotemporal dynamics in mechanical systems.
- 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, PDepartment: Cellular Sensory and Optical Wave Computing LaboratoryDate: 2000.Published by: Proceedings of the 6th IEEE international workshop on cellular neural networks and their applications. (CNNA 2000). Catania, 2000. (Page: 79-81)
- 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, TDepartment: Cellular Sensory and Optical Wave Computing LaboratoryDate: 1999.Published by: Design automation day on cellular visual microprocessor. Stresa, 1999. (Page: 58-68)
- A new type of analogic CNN agorithmfor printed circuit board layout error detection.
- Celluláris neurális hálózatok és analogikai vizuális mikroprocesszorok - áttekintés.
- 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, DDepartment: Cellular Sensory and Optical Wave Computing LaboratoryDate: 1999.Published by: MicroNeuro '99. Proceedings of the seventh international conference on microelectronics for neural, fuzzy, and bio-inspired systems. Granada, 1999. (Page: 54-60)
- CNN chip prototyping and development systems.
- On the chip implementation of analogic algorithms for optical detection of some layout errors of printed circuit boards.
- An emulated digital architecture implementing the CNN universal machine.
- CASTLE: an emulated digital architecture; design issues, new results.
- A CNN engine board.
- Real-time adaptive control of robot manipulators using cellular neural networks.
- Toward the application of an analog input dual output CNNNUM chip in transient analysis of mechanical vibrating systems.
- Ultra fast image processing via CNN technology.
- Real-life application case studies using CMOS 0.8 mm CNN universal chip: analogic algorithm for motion detection and texture segmentation.
- Improving the noisy feature detection capability of feedforward Cellular Neural Networks by introducing don't- care template elements.
- 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, PLDepartment: Cellular Sensory and Optical Wave Computing LaboratoryDate: 1996.Published by: 1996 fourth IEEE international workshop on Cellular Neural Networks and their applications proceedings. CNNA-96. Seville, 1996. (Page: 273-278)
- On the detection of critical frequencies of a tool machine.
- Robot control functions using CNN chips with on-chip optical input.
- Optical detection of breaks and short circuits on the layouts of printed circuit boards using CNN.
- The first steps toward the application of the CNN chips.
- A fast learning method to implement associative memory on CNN
- Analogic cellular neural network processing
- On a CNN chip-prototyping system
- On some limits of XILINX based control logic implementations
- 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
- Analog combinatorics and cellular automata - key algorithms and layout design
- An experimental system for optical detection of layout errors of printed circuit boards using learned CNN templates
Journal article- Supersonic flow simulation on emulated digital cellular neural networks.
- Exploitation of cell multi-processor array in solution of spatio-temporal dynamics.
- Solving partial differential equations on emulated digital CNN-UM architectures
- Seismic wave propagation modelling on emulated digital CNN-UM architecture
- Seismic wave propagation modeling on CNN-UM architecture
- Analogic CNN computing fosters detecting stroke signs
- Interpolation of 2D signals using cellular neural networks
- Configurable multi-layer CNN-UM emulator on FPGA
- Fast and efficient multi-layer CNN-UM emulator using FPGA
- Enhanced emulated digital CNN-UM (CASTLE) arithmetic cores
- Some new analogic CNN algorithms for PCB quality control.
- An emulated digital CNN Implementation.
Authors: Keresztes, P; Zarándy, Á; Roska, T; Szolgay, P; Bezák, T; Hídvégi, T; Jónás, P; Katona, ADepartment: Cellular Sensory and Optical Wave Computing LaboratoryDate: 1999.Published by: JOURNAL OF VLSI SIGNAL PROCESSING SYSTEMS FOR SIGNAL IMAGE AND VIDEO TECHNOLOGY (Volume no.: 23, Issue no.: 2-3, Page: 291-303)
- The computational infrastructure of analogic CNN computing - Part I: The CNN-UM chip prototyping system.
- Analogic algorithms for optical detection of breaks and short circuits on the layouts of printed circuits boards using CNN.
- 0.8-?m CMOS two-dimensional programmable mixed-signal focal-plane array processor with on-chip binary imaging and instructions storage.
Authors: Domínguez-Castro, R; Espejo, S; Rodríguez-Vázquez, A; Carmona, RA; Földesy, P; Zarándy, Á; Szolgay, P; Szirányi, T; Roska, TDepartment: Cellular Sensory and Optical Wave Computing LaboratoryDate: 1997.Published by: IEEE JOURNAL OF SOLID-STATE CIRCUITS (Volume no.: 32, Issue no.: 7, Page: 1013-1026)
- Feature detection in noisy images with cellular neural networks.
- A fast fixed point learning method to implement associative memory on CNN's.
- Analogue combinatorics and cellular automata - key algorithms and layout design.
- On the applications of the cellular neural network paradigm in mechanical vibrating systems
- Cell placement of almost regular structures
- A digital multiprocessor hardware accelerator board for cellular neural networks: CNN-HAC
Authors: Roska, T; Bártfay, G; Szolgay, P; Szirányi, T; Radványi, A; Kozek, T; Ugray, ZS; Zarándy, ÁDepartment: Cellular Sensory and Optical Wave Computing LaboratoryDate: 1992.Published by: INTERNATIONAL JOURNAL OF CIRCUIT THEORY AND APPLICATIONS (Volume no.: 20, Issue no.: 5, Page: 589-599)
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