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Towards the Visual Microprocessor
VLSI Design and the Use of Cellular Neural Network (CNN) Machine Computers
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Edited by T. Roska, Hungarian Academy of Sciences, Hungary and
A. Rodriguez-Vazquez, University of Seville, Spain
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0471 95606 6
December 2000
Hardback
400pp
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With a foreword by the respected academic, Professor Leon Chua, this book explores circuit
design, prototyping and analogical algorithms. Subjects covered include the VLSI design and
implementation of CNNs and CNN-UMs, the testing of CNN chips and a detailed analysis of a new
chip prototyping system and interfacing the CNN universal chips to a digital environment.
Distinctive features include:
- A textbook-like introduction to the new field of analogic super-computing
- Design methodology of CMOS mixed-mode (analogic) array computers and optical sensors
- Applications in neuro-computing, machine vision, image processing and VSL signal processing
- Design methodology of a new type of algorithm for solving complex spatiotemporal tasks
- Important pioneering work about a rapidly-developing and increasingly influential field of computation circuit design, and sensory computers
- A vertical coverage of topics on a new type of computer from high level language down to physical circuit design
Contents:
- The Cellular Neural Network (CNN) and the CNN Universal Machine: Concept, Architecture and Operation Modes
- CNN Chip Prototyping and Development Systems
- CMOS Analogue Design Primitives
- On the Implementation of Linear and Nonlinear Interaction Operators for CNNS
- Light-Sensitive Devices in CMOS
- Examples of CMOS CNN Universal Chip Design
- Short-Term Storage of Analogue Signals for CNN Universal Machine Based Image Processing
- Application Case Studies
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