Cellular Neural Networks and Visual Computing

Foundations and Applications

By: Leon O. Chua, Tamas Roska

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Hardcover | 23 May 2002

At a Glance

Hardcover
410 Pages

Dimensions(cm)
25.4 x 17.78 x 2.39

Hardcover

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Cellular Nonlinear/neural Network (CNN) technology is both a revolutionary concept and an experimentally proven new computing paradigm. Analogic cellular computers based on CNNs are set to change the way analog signals are processed and are paving the way to an entire new analog computing industry. This unique undergraduate level textbook includes many examples and exercises, including CNN simulator and development software accessible via the Internet. It is an ideal introduction to CNNs and analogic cellular computing for students, researchers and engineers from a wide range of disciplines. Although its prime focus is on visual computing, the concepts and techniques described in the book will be of great interest to those working in other areas of research including modeling of biological, chemical and physical processes. Leon Chua, co-inventor of the CNN, and Tamas Roska are both highly respected pioneers in the field.

Industry Reviews

"...rarely has a treatment of a new technology been so thoroughly researched and presented within the confines of a single book...an outstanding example of what a team of dedicated authors and a committed publisher can do towards exposing their potential readers to new technologies and development of new industries." Current Engineering Practice

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You Can Find This Book In

Non-Fiction Computing & I.T.Computer Networking & Communications Engineering & Technology Energy Technology & Engineering Electrical Engineering Computer Hardware Computer Science Artificial Intelligence Neural Networks & Fuzzy Systems

Once over lightly
Introduction - notations, definitions and mathematical foundation
Characteristics and analysis of simple CNN templates
Simulation of the CNN dynamics
Binary CNN characterization via Boolean functions
Uncoupled CNNs: unified theory and applications
Introduction to the CNN universal machine
Back to basics: nonlinear dynamics and complete stability
The CNN universal machine (CNN - UM)
Template design tools
CNNs for linear image processing
Coupled CNN with linear synaptic weights
Uncoupled standard CNNs with nonlinear synaptic weights
Standard CNNs with delayed synaptic weights and motion analysis
Visual microprocessors - analog and digital VLSI implementation of the CNN universal machine
CNN models in the visual pathway and the 'bionic eye'
A CNN template library
Using a simple multi-layer CNN analogic dynamic template and algorithm simulator (CANDY)
A program for binary CNN template design and optimization (TEMPO)
Table of Contents provided by Publisher. All Rights Reserved.

Cellular Neural Networks and Visual Computing

Foundations and Applications

At a Glance

Hardcover

Industry Reviews

Shipping

How to return your order

Defective items

You Can Find This Book In

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