Towards the Visual Microprocessor: VLSI Design and the Use of Cellular Neural Network Universal Machines - Hardcover

Hardcover

ISBN 10: 0471956066 ISBN 13: 9780471956068

Publisher: Wiley, 2000

Synopsis

Written by a group of leading researchers in the field, this is a pioneering work, providing a concise analysis of the topic by the inventors of the CNN universal machine and the supercomputer chip. Opening with a foreword by the respected academic, Professor Leon Chua, the book progresses to explore circuit design, prototyping and analogical algorithms. Subjects covered include the VLSI design and implementation of CNNs, the testing of CNN chips and a detailed analysis of the new system for prototyping and interfacing the CNN universal chips
? 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.

About this title

About the Author

Tamás Roska and ángel Rodríguez-Vázquez are the authors of Towards the Visual Microprocessor: VLSI Design and the Use of Cellular Neural Network Universal Machines, published by Wiley.

From the Back Cover

Visual microprocessors are software-controlled analogic (analog-and-logic) array computers on a single chip. To create them requires designing highly complex integrated circuits called VLSIs (Very Large Scale Integration) operating in mixed-mode (analog and digital). The architecture of these chips is based on Cellular Neural/nonlinear Networks (CNNs) extended by building blocks to become a full-featured array computer, called the CNN Universal Machine (CNN-UM). The elementary component-computers are electronic mini organism-like cells that can be re-programmed either externally or internally.
Opening with a foreword by the respected academic, Professor Leon Chua, the book progresses to explore circuit design, prototyping and analogial 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
The wide spectrum covered in this volume will be beneficial for students engaging in advanced reseacrh, professionals in electrical and electronic engineering, computer engineering, computer science, mathematics and neurobiology.

Edition details

• Publisher: Wiley
• Publication date: 2000
• Language: English
• ISBN 10: 0471956066
• ISBN 13: 9780471956068
• Binding: Hardcover
• Edition number: 1
• Number of pages: 360
• Editor: Roska Tamás, Rodríguez-Vázquez Ángel