Towards the Visual Microprocessor: VLSI Design and the Use of Cellular Neural Network Universal Machines
? Includes applications in: Neurocomputing, Machine Vision, Image Processing and VLSI Signal Processing
? Provides simple algorithms to design and synthesise complex circuits
? Written and edited by world authorities in this field, including Leon Chua who invented CNNs in the late 1980s.
This text follows on from Roska's previous success - Cellular Neural Networks and D3 - with this groundbreaking work about a rapidly developing and increasingly influential field of circuit theory. This text would be of great interest to a broad audience including postgraduate and advanced students, researchers and professionals in electrical and electronic engineering, computer science, mathematics and neurobiology.
The Cellular Neural Network (CNN) and the CNN Universal Machine: Concept, Architecture and Operation Modes (L. Chua & T. Roska).
CNN Chip Prototyping and Development Systems (Á. Zarándy, et al.).
CMOS Analogue Design Primitives (Á. Rodríguez-Vázquez, et al.).
On the Implementation of Linear and Nonlinear Interaction Operators for CNNS (Á. Rodríguez-Vázquez, et al.).
Light-Sensitive Devices in CMOS (E. Roca, et al.).
Examples of CMOS CNN Universal Chip Design (R. Domínguez-Castro, et al.).
Short-Term Storage of Analogue Signals for CNN Universal Machine Based Image Processing (R. Carmona, et al.).
Application Case Studies (G. Liska, et al.).
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