- Péter Szolgay, doctor of HAS, research advisor

Publications[ order by time]
[ order by categories ]
[ order by authors]
Bezák, T- A re-configurable arithmetic units of an emulated digital CNN-UM.
- An analogic CNN algorithm - a switch implementation. (Research report of the Analogical and Neural Computing Laboratory DNS-1-2001.)
- An analogic CNN algorithm - a switch implementation.
- 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 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)
Bártfay, G- 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)
Carmona, RA- 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)
Csapodi, M- 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)
Domínguez-Castro, R- 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)
Espejo, S- 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)
- 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)
Fehér, B- 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)
- Various implementations of topographic, sensory, cellular wave computers
- A development system for prototyping and interfacing CNN chips and for analogic algorithm design.
- 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)
- CNN chip prototyping and development systems.
- 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)
- The computational infrastructure of analogic CNN computing - Part I: The CNN-UM chip prototyping system.
- On the chip implementation of analogic algorithms for optical detection of some layout errors of printed circuit boards.
- Functional measurements of the first analog input/output CNN universal chip. (Research report of the Analogical and Neural Computing Laboratory, DNS-4-1997.)
- A CNN engine board.
- 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)
- The first steps toward the application of the CNN chips.
- Real-life application case studies using CMOS 0.8 mm CNN universal chip: analogic algorithm for motion detection and texture segmentation.
- 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.)
Hídvégi, T- Enhanced emulated digital CNN-UM (CASTLE) arithmetic cores
- A comparison of the different CNN implementations in solving the problem of spatiotemporal dynamics in mechanical systems.
- 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)
- A new type of analogic CNN agorithmfor printed circuit board layout error detection.
- 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)
Katona, A- An optical robot path tracking system.
- 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)
- Robot control functions using CNN chips with on-chip optical input.
- An experimental system for path tracking of a robot using a 16*16 connected component detector CNN chip with direct optical input
- On some limits of XILINX based control logic implementations
- On some limits of XILINX based control logic implementations (Report. University of Veszprém. Department of Informatics and Automation. IT-2-1993)
Keresztes, P- Enhanced emulated digital CNN-UM (CASTLE) arithmetic cores
- Interfacing the CASTLE emulated digital array processor to the ALADDIN system
- High speed programmable emulated digital logical CNN-UM array and its application.
- An accelerated digital CNN-UM (CASTLE) architecture by using the pipe-line technique.
- A re-configurable arithmetic units of an emulated digital CNN-UM.
- 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)
- CASTLE: an emulated digital architecture; design issues, new results.
- An emulated digital architecture implementing the CNN universal machine.
Kozek, T- 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)
- 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)
- 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)
- 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.)
- Analogic cellular neural network processing
- 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)
- An experimental system for optical detection of layout errors of printed circuit boards using learned CNN templates
- 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)
- 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)
- 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 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)
- 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 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
Linán, G- 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)
László, K- 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)
- 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)
- 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 fast fixed point learning method to implement associative memory on CNN's.
- A fast learning method to implement associative memory of CNNs.(Research report of Analogical and Neural Computing Laboratory, DNS-9-1996.)
- 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)
Nemes, L- 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)
- 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)
- 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)
- CNN chip prototyping and development systems.
- 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)
- 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)
- On a CNN chip-prototyping system
- 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)
- 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)
- 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)
- 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 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)
- 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)
Rodriguez-Vázquez, A- 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)
Rodríguez-Vázquez, A- 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)
- Various implementations of topographic, sensory, cellular wave computers
- A development system for prototyping and interfacing CNN chips and for analogic algorithm design.
- 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)
- 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)
- CNN chip prototyping and development systems.
- 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)
- 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)
- The computational infrastructure of analogic CNN computing - Part I: The CNN-UM chip prototyping system.
- 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)
- An analogic CNN algorithm for following continously moving objects. (Research report of the Analogical and Neural Computing Laboratory, DNS-8-1999.)
- CASTLE: an emulated digital architecture; design issues, new results.
- An emulated digital architecture implementing the CNN universal machine.
- 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.)
- Ultra fast image processing via CNN technology.
- 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)
- Analogue combinatorics and cellular automata - key algorithms and layout design.
- 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)
- 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.)
- On a CNN chip-prototyping system
- Analogic cellular neural network processing
- 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)
- 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)
- 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 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)
- 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 fast fixed point learning method to implement associative memory on CNN's.
- A fast learning method to implement associative memory of CNNs.(Research report of Analogical and Neural Computing Laboratory, DNS-9-1996.)
- 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)
- 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
- 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)
- 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)
- 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, 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 a CNN chip-prototyping system
- 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)
- Various implementations of topographic, sensory, cellular wave computers
- Analogic CNN computing fosters detecting stroke signs
- Inverse elastic wave propagation modeling on CNN-UM architecture
- 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)
- An emulated digital retina model implementation on FPGA
- Elastic wave propagation modeling on emulated digital CNN-UM architecture
- Hardware and software environment for a tactile sensor array
- Image inpainting methods by using cellular neural networks
- Morphological and wave segmentation by cellular neural networks
- Tactile sensor modeling by using emulated digital CNN-UM
- Emulated digital CNN-UM implementation of a barotropic ocean model
- Seismic wave propagation modeling on emulated digital CNN-UM architecture
- Analogic CNN algorithms for textile quality control based on optical and tactile sensory inputs
- A variational method for image denoising, by using cellular neural networks
- Low-cost CNN-UM global analogic programming unit implementation on FPGA
- Fast and efficient multi-layer CNN-UM emulator using FPGA
- Enhanced emulated digital CNN-UM (CASTLE) arithmetic cores
- Novel neuroradiological image processing and information retrieval in a telestroke system
- An analogic diffusion-based algorithm for the segmentation of CT images
- Numerical solution of a class of PDEs by using emulated digital CNN-UM on FPGAs
- Configurable multi-layer CNN-UM emulator on FPGA
- Elementary CNN algorithms and an experimental system for typical tactile actions
- Interfacing the CASTLE emulated digital array processor to the ALADDIN system
- Interpolation of 2D signals using cellular neural networks
- Adaptive image enhancement by using cellular neural networks
- High speed programmable emulated digital logical CNN-UM array and its application.
- Real time colour image processing using a CNN-UM implemented on FPGA.
- Colour space transformation, colour correction and exact colour reproduction with CNN technology.
- 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.
- An accelerated digital CNN-UM (CASTLE) architecture by using the pipe-line technique.
- Configurable multi-layer CNN-UM emulator on FPGA.
- Some new analogic CNN algorithms for PCB quality control.
- An emulated digital CNN-UM implementation on FPGA with programmable accuracy.
- 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.
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)
- A re-configurable arithmetic units of an emulated digital CNN-UM.
- Interpolation of 2D signals using CNN.
- An analogic CNN algorithm - a switch implementation. (Research report of the Analogical and Neural Computing Laboratory DNS-1-2001.)
- An analogic CNN algorithm - a switch implementation.
- A CNN Univerzális Gép (CNNUM) mint bonyolult mérnöki számítások eszköze : téranalízis a mechanikában, minőségellenőrzés az elektronikában.
- A development system for prototyping and interfacing CNN chips and for analogic algorithm design.
- An optical robot path tracking system.
- 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)
- 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)
- A comparison of the different CNN implementations in solving the problem of spatiotemporal dynamics in mechanical systems.
- An analogic CNN algorithm for following continuously moving objects.
- CNN chip prototyping and development systems.
- 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)
- 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, TDepartment: Cellular Sensory and Optical Wave Computing LaboratoryDate: 1999.Published by: Design automation day on cellular visual microprocessor. Stresa, 1999. (Page: 58-68)
- Celluláris neurális hálózatok és analogikai vizuális mikroprocesszorok - áttekintés.
- The computational infrastructure of analogic CNN computing - Part I: The CNN-UM chip prototyping system.
- 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)
- 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.)
- CASTLE: an emulated digital architecture; design issues, new results.
- An emulated digital architecture implementing the CNN universal machine.
- On the chip implementation of analogic algorithms for optical detection of some layout errors of printed circuit boards.
- 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.)
- 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.
- 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)
- Ultra fast image processing via CNN technology.
- Real-time adaptive control of robot manipulators using cellular neural networks.
- A CNN engine board.
- Feature detection in noisy images with cellular neural networks.
- 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)
- Analogue combinatorics and cellular automata - key algorithms and layout design.
- 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)
- 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.
- 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.)
- Real-time adaptive control of robot manipulators using Cellular Neural Networks. ( Research report of the Analogical and Neural Computing Laboratory DNS-10-1996.)
- 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, 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)
- Improving the noisy feature detection capability of feedforward Cellular Neural Networks by introducing don't- care template elements.
- 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
- 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.)
- 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.)
- 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
- On a CNN chip-prototyping system
- Analogic cellular neural network processing
- On some limits of XILINX based control logic implementations
- On the applications of the cellular neural network paradigm in mechanical vibrating systems
- 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)
- An experimental system for optical detection of layout errors of printed circuit boards using learned CNN templates
- 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)
- Cell placement of almost regular structures
- 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)
Ugray, ZS- 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)
Venetianer, PL- Analogue combinatorics and cellular automata - key algorithms and layout design.
- 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)
- 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.)
- On a CNN chip-prototyping system
Zarándy, A- 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)
- Various implementations of topographic, sensory, cellular wave computers
- A development system for prototyping and interfacing CNN chips and for analogic algorithm design.
- 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)
- CNN chip prototyping and development systems.
- 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)
- 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)
- The computational infrastructure of analogic CNN computing - Part I: The CNN-UM chip prototyping system.
- 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)
- A new type of analogic CNN agorithmfor printed circuit board layout error detection.
- CASTLE: an emulated digital architecture; design issues, new results.
- An emulated digital architecture implementing the CNN universal machine.
- 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.)
- Ultra fast image processing via CNN technology.
- 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)
- Real-life application case studies using CMOS 0.8 mm CNN universal chip: analogic algorithm for motion detection and texture segmentation.
- On a CNN chip-prototyping system
- 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)
Zöld, S- A development system for prototyping and interfacing CNN chips and for analogic algorithm design.
- 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)
- CNN chip prototyping and development systems.
- 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)
- 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)
- The computational infrastructure of analogic CNN computing - Part I: The CNN-UM chip prototyping system.
- 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.)
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