- Péter Földesy, Ph.D.

Publications[ order by time]
[ order by categories ]
[ order by authors]
Brea, V.- 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.Department: Cellular Sensory and Optical Wave Computing LaboratoryDate: 2010.Published by: Optical sensing and detection. Brussels, 2010. (Proceedings of SPIE 7726.) (Page: 772613-1-772613-12.)Download article: [html]
- 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)
Carmona, R.- 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.Department: Cellular Sensory and Optical Wave Computing LaboratoryDate: 2010.Published by: Optical sensing and detection. Brussels, 2010. (Proceedings of SPIE 7726.) (Page: 772613-1-772613-12.)Download article: [html]
- Cellular multi-core processor carrier chip for nanoantenna integration and experiments.
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)
Carmona-Galan, R.- Digital processor array implementation aspects of a 3D multi-layer vision architecture.
Authors: Földesy, Péter; Carmona-Galan, R.; Zarándy, Ákos; Rekeczky, Cs.; Rodríguez-Vázquez, A.; Roska, TamásEditor: Roska, Tamás; Gilli, Marco; Zarándy, ÁkosDepartment: Cellular Sensory and Optical Wave Computing LaboratoryDate: 2010. 02. 03.Published by: 12th international workshop on cellular nanoscale networks and their applications. CNNA 2010. Berkeley, 2010. (Page: 329-332.)Download article: [html]
- 3D multi-layer vision architecture for surveillance and reconnaissance applications.
Dominguez-Castro, R- Realization of non-linear templates using the CNNUC3 prototype.
Authors: Linán, G; Földesy, P; Rodríguez-Vázquez, A; Espejo, S; Dominguez-Castro, RDepartment: 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: 219-224)
- Sructure reconfigurability of the CNNUC3 for robust template operation.
Authors: Földesy, P; Linán, G; Rodriguez-Vázquez, A; Espejo, S; Dominguez-Castro, RDepartment: 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: 289-293)
- Object oriented image segmentation on the CNNUC3 chip.
Authors: Földesy, P; Linan, G; Rodriguez-Vázquez, A; Espejo, S; Dominguez-Castro, RDepartment: 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: 283-288)
Domínguez Matas, C.- 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.Department: Cellular Sensory and Optical Wave Computing LaboratoryDate: 2010.Published by: Optical sensing and detection. Brussels, 2010. (Proceedings of SPIE 7726.) (Page: 772613-1-772613-12.)Download article: [html]
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)
- Realization of non-linear templates using the CNNUC3 prototype.
Authors: Linán, G; Földesy, P; Rodríguez-Vázquez, A; Espejo, S; Dominguez-Castro, RDepartment: 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: 219-224)
- 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, RDepartment: Cellular Sensory and Optical Wave Computing LaboratoryDate: 2000.Published by: The 2000 IEEE international symposium on circuits and systems. Emerging technologies for the 21st century. ISCAS 2000. Geneva, 2000. Vol. 2. (Page: 401-404)
- Sructure reconfigurability of the CNNUC3 for robust template operation.
Authors: Földesy, P; Linán, G; Rodriguez-Vázquez, A; Espejo, S; Dominguez-Castro, RDepartment: 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: 289-293)
- Object oriented image segmentation on the CNNUC3 chip.
Authors: Földesy, P; Linan, G; Rodriguez-Vázquez, A; Espejo, S; Dominguez-Castro, RDepartment: 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: 283-288)
- 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)
- Per-pixel integration time controlled image sensor
- Various implementations of topographic, sensory, cellular wave computers
- Trends in design of massively parallel coprocessors implemented in digital ASICs
- The new framework of applications: the Aladdin system
- Active wave computing on silicon: chip experiments
- PDE-based histogram modification with embedded morphological processing of the level-sets
- Moving object traking on panoramic images.
- Analogic cellular PDE machines.
- Image processing library for the ALADDIN visual computer.
- Statistical error modeling of CNN-UM architectures: The binary case.
- PDE based histogram modification with embedded morphological processing of the level-sets.
- A behavioural modelling technique for visual microprocessor mixed-signal VLSI chips.
- Computing on silicon with trigger-waves: experiments on CNN-UM chips.
- Behavioral modeling concept and practice of CNN-UM VLSI implementations.
- CNN-UM architektúrák hibamodellezése és alkalmazhatóságuk kiterjesztése - modellezés, analízis és műveleti szintézis.
- 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)
- An analogic CNN engine board with the 64x64 analog I/O CNN-UM chip.
- Realization of non-linear templates using the CNNUC3 prototype.
Authors: Linán, G; Földesy, P; Rodríguez-Vázquez, A; Espejo, S; Dominguez-Castro, RDepartment: 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: 219-224)
- 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, RDepartment: Cellular Sensory and Optical Wave Computing LaboratoryDate: 2000.Published by: The 2000 IEEE international symposium on circuits and systems. Emerging technologies for the 21st century. ISCAS 2000. Geneva, 2000. Vol. 2. (Page: 401-404)
- Sructure reconfigurability of the CNNUC3 for robust template operation.
Authors: Földesy, P; Linán, G; Rodriguez-Vázquez, A; Espejo, S; Dominguez-Castro, RDepartment: 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: 289-293)
- Object oriented image segmentation on the CNNUC3 chip.
Authors: Földesy, P; Linan, G; Rodriguez-Vázquez, A; Espejo, S; Dominguez-Castro, RDepartment: 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: 283-288)
- 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.
- Fault-tolerant design of analogic CNN templates and algorithms - Part I: The binary output case.
- On the chip implementation of analogic algorithms for optical detection of some layout errors of printed circuit boards.
- 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.)
- Fault tolerant CNN template design and optimatization based on chip measurements.
- 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)
- 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).
- 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.)
- VISCUBE: a multi-layer vision chip.
- Displacement calculation algorithm on a heterogeneous multi-layer cellular sensor processor array.
- Digital processor array implementation aspects of a 3D multi-layer vision architecture.
Authors: Földesy, Péter; Carmona-Galan, R.; Zarándy, Ákos; Rekeczky, Cs.; Rodríguez-Vázquez, A.; Roska, TamásEditor: Roska, Tamás; Gilli, Marco; Zarándy, ÁkosDepartment: Cellular Sensory and Optical Wave Computing LaboratoryDate: 2010. 02. 03.Published by: 12th international workshop on cellular nanoscale networks and their applications. CNNA 2010. Berkeley, 2010. (Page: 329-332.)Download article: [html]
- Digital micromirror device (DMD) projector based test bench for vision chips.
- 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.Department: Cellular Sensory and Optical Wave Computing LaboratoryDate: 2010.Published by: Optical sensing and detection. Brussels, 2010. (Proceedings of SPIE 7726.) (Page: 772613-1-772613-12.)Download article: [html]
- Cellular multi-core processor carrier chip for nanoantenna integration and experiments.
- 3D multi-layer vision architecture for surveillance and reconnaissance applications.
- Clusterable cellular visual microprocessor.
- Analysis of 2D operators on topographic and non-topographic processor architectures.
- Configurable 3D-integrated focal-plane sensor-processor array architecture.
- 3D integrated scalable focal-plane processor array.
- High performance processor array for image processing.
- Digital implementation of the cellular sensor-computers
Kozek, T- 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 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)
- An analogic CNN engine board with the 64x64 analog I/O CNN-UM chip.
- 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)
- Fault-tolerant design of analogic CNN templates and algorithms - Part I: The binary output case.
- 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.)
- Fault tolerant CNN template design and optimatization based on chip measurements.
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)
- Realization of non-linear templates using the CNNUC3 prototype.
Authors: Linán, G; Földesy, P; Rodríguez-Vázquez, A; Espejo, S; Dominguez-Castro, RDepartment: 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: 219-224)
- 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, RDepartment: Cellular Sensory and Optical Wave Computing LaboratoryDate: 2000.Published by: The 2000 IEEE international symposium on circuits and systems. Emerging technologies for the 21st century. ISCAS 2000. Geneva, 2000. Vol. 2. (Page: 401-404)
- Sructure reconfigurability of the CNNUC3 for robust template operation.
Authors: Földesy, P; Linán, G; Rodriguez-Vázquez, A; Espejo, S; Dominguez-Castro, RDepartment: 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: 289-293)
Linán, G.- 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.Department: Cellular Sensory and Optical Wave Computing LaboratoryDate: 2010.Published by: Optical sensing and detection. Brussels, 2010. (Proceedings of SPIE 7726.) (Page: 772613-1-772613-12.)Download article: [html]
László, K- 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)
- Active wave computing on silicon: chip experiments
- 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)
Pozas, F.- 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.Department: Cellular Sensory and Optical Wave Computing LaboratoryDate: 2010.Published by: Optical sensing and detection. Brussels, 2010. (Proceedings of SPIE 7726.) (Page: 772613-1-772613-12.)Download article: [html]
- 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)
Rekeczky, Cs.- Displacement calculation algorithm on a heterogeneous multi-layer cellular sensor processor array.
- Digital processor array implementation aspects of a 3D multi-layer vision architecture.
Authors: Földesy, Péter; Carmona-Galan, R.; Zarándy, Ákos; Rekeczky, Cs.; Rodríguez-Vázquez, A.; Roska, TamásEditor: Roska, Tamás; Gilli, Marco; Zarándy, ÁkosDepartment: Cellular Sensory and Optical Wave Computing LaboratoryDate: 2010. 02. 03.Published by: 12th international workshop on cellular nanoscale networks and their applications. CNNA 2010. Berkeley, 2010. (Page: 329-332.)Download article: [html]
- Cellular multi-core processor carrier chip for nanoantenna integration and experiments.
- 3D multi-layer vision architecture for surveillance and reconnaissance applications.
- The new framework of applications: the Aladdin system
- Active wave computing on silicon: chip experiments
- PDE-based histogram modification with embedded morphological processing of the level-sets
- Analogic cellular PDE machines.
- Image processing library for the ALADDIN visual computer.
- PDE based histogram modification with embedded morphological processing of the level-sets.
- Computing on silicon with trigger-waves: experiments on CNN-UM chips.
- 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)
Rekeczky, Csaba- 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.Department: Cellular Sensory and Optical Wave Computing LaboratoryDate: 2010.Published by: Optical sensing and detection. Brussels, 2010. (Proceedings of SPIE 7726.) (Page: 772613-1-772613-12.)Download article: [html]
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)
- Sructure reconfigurability of the CNNUC3 for robust template operation.
Authors: Földesy, P; Linán, G; Rodriguez-Vázquez, A; Espejo, S; Dominguez-Castro, RDepartment: 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: 289-293)
- Object oriented image segmentation on the CNNUC3 chip.
Authors: Földesy, P; Linan, G; Rodriguez-Vázquez, A; Espejo, S; Dominguez-Castro, RDepartment: 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: 283-288)
Rodríguez-Vázquez, A- Realization of non-linear templates using the CNNUC3 prototype.
Authors: Linán, G; Földesy, P; Rodríguez-Vázquez, A; Espejo, S; Dominguez-Castro, RDepartment: 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: 219-224)
- 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, RDepartment: Cellular Sensory and Optical Wave Computing LaboratoryDate: 2000.Published by: The 2000 IEEE international symposium on circuits and systems. Emerging technologies for the 21st century. ISCAS 2000. Geneva, 2000. Vol. 2. (Page: 401-404)
- 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)
Rodríguez-Vázquez, A.- Digital processor array implementation aspects of a 3D multi-layer vision architecture.
Authors: Földesy, Péter; Carmona-Galan, R.; Zarándy, Ákos; Rekeczky, Cs.; Rodríguez-Vázquez, A.; Roska, TamásEditor: Roska, Tamás; Gilli, Marco; Zarándy, ÁkosDepartment: Cellular Sensory and Optical Wave Computing LaboratoryDate: 2010. 02. 03.Published by: 12th international workshop on cellular nanoscale networks and their applications. CNNA 2010. Berkeley, 2010. (Page: 329-332.)Download article: [html]
- 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.Department: Cellular Sensory and Optical Wave Computing LaboratoryDate: 2010.Published by: Optical sensing and detection. Brussels, 2010. (Proceedings of SPIE 7726.) (Page: 772613-1-772613-12.)Download article: [html]
- 3D multi-layer vision architecture for surveillance and reconnaissance applications.
- Per-pixel integration time controlled image sensor
- Various implementations of topographic, sensory, cellular wave computers
- Analogic cellular PDE machines.
- 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.
- Fault-tolerant design of analogic CNN templates and algorithms - Part I: The binary output case.
- 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.)
- Fault tolerant CNN template design and optimatization based on chip measurements.
- Functional measurements of the first analog input/output CNN universal chip. (Research report of the Analogical and Neural Computing Laboratory, DNS-4-1997.)
- 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)
- 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).
- VISCUBE: a multi-layer vision chip.
- Digital processor array implementation aspects of a 3D multi-layer vision architecture.
Authors: Földesy, Péter; Carmona-Galan, R.; Zarándy, Ákos; Rekeczky, Cs.; Rodríguez-Vázquez, A.; Roska, TamásEditor: Roska, Tamás; Gilli, Marco; Zarándy, ÁkosDepartment: Cellular Sensory and Optical Wave Computing LaboratoryDate: 2010. 02. 03.Published by: 12th international workshop on cellular nanoscale networks and their applications. CNNA 2010. Berkeley, 2010. (Page: 329-332.)Download article: [html]
- 3D multi-layer vision architecture for surveillance and reconnaissance applications.
- 3D integrated scalable focal-plane processor array.
- High performance processor array for image processing.
- Digital implementation of the cellular sensor-computers
Suárez-Cambre, M.- 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.Department: Cellular Sensory and Optical Wave Computing LaboratoryDate: 2010.Published by: Optical sensing and detection. Brussels, 2010. (Proceedings of SPIE 7726.) (Page: 772613-1-772613-12.)Download article: [html]
- The new framework of applications: the Aladdin system
- Active wave computing on silicon: chip experiments
- Moving object traking on panoramic images.
- Analogic cellular PDE machines.
- Image processing library for the ALADDIN visual computer.
- Computing on silicon with trigger-waves: experiments on CNN-UM chips.
- 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)
- An analogic CNN engine board with the 64x64 analog I/O CNN-UM chip.
- 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 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.
- 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.)
- Per-pixel integration time controlled image sensor
- Various implementations of topographic, sensory, cellular wave computers
- The new framework of applications: the Aladdin system
- Moving object traking on panoramic images.
- Image processing library for the ALADDIN visual computer.
- 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)
- An analogic CNN engine board with the 64x64 analog I/O CNN-UM chip.
- 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.
- Fault-tolerant design of analogic CNN templates and algorithms - Part I: The binary output case.
- 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.)
- Fault tolerant CNN template design and optimatization based on chip measurements.
- Functional measurements of the first analog input/output CNN universal chip. (Research report of the Analogical and Neural Computing Laboratory, DNS-4-1997.)
- 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.
- VISCUBE: a multi-layer vision chip.
- Displacement calculation algorithm on a heterogeneous multi-layer cellular sensor processor array.
- Digital processor array implementation aspects of a 3D multi-layer vision architecture.
Authors: Földesy, Péter; Carmona-Galan, R.; Zarándy, Ákos; Rekeczky, Cs.; Rodríguez-Vázquez, A.; Roska, TamásEditor: Roska, Tamás; Gilli, Marco; Zarándy, ÁkosDepartment: Cellular Sensory and Optical Wave Computing LaboratoryDate: 2010. 02. 03.Published by: 12th international workshop on cellular nanoscale networks and their applications. CNNA 2010. Berkeley, 2010. (Page: 329-332.)Download article: [html]
- 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.Department: Cellular Sensory and Optical Wave Computing LaboratoryDate: 2010.Published by: Optical sensing and detection. Brussels, 2010. (Proceedings of SPIE 7726.) (Page: 772613-1-772613-12.)Download article: [html]
- Cellular multi-core processor carrier chip for nanoantenna integration and experiments.
- 3D multi-layer vision architecture for surveillance and reconnaissance applications.
- Clusterable cellular visual microprocessor.
- Analysis of 2D operators on topographic and non-topographic processor architectures.
- Configurable 3D-integrated focal-plane sensor-processor array architecture.
- 3D integrated scalable focal-plane processor array.
- High performance processor array for image processing.
- Digital implementation of the cellular sensor-computers
Zöld, S- A development system for prototyping and interfacing CNN chips and for analogic algorithm design.
- 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.
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