Cellular Neural Networks and Visual Computing: Foundations and Applications (Google eBook)

Front Cover
Cambridge University Press, May 23, 2002 - Computers
0 Reviews
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 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 Tamás Roska are both highly respected pioneers in the field.
  

What people are saying - Write a review

We haven't found any reviews in the usual places.

Contents

1 Introduction
1
2 Notation definitions and mathematical foundation
7
3 Characteristics and analysis of simple CNN templates
35
4 Simulation of the CNN dynamics
100
5 Binary CNN characterization via Boolean functions
115
unified theoryand applications
139
7 Introduction to the CNN Universal Machine
183
Nonlinear dynamics and complete stability
205
12 Coupled CNN with linear synaptic weights
276
13 Uncoupled standard CNNs with nonlinear synaptic weights
290
14 Standard CNNs with delayed synaptic weights and motion analysis
296
15 Visual microprocessors analog and digital VLSI implementation of the CNN Universal Machine
303
16 CNN models in the visual pathwayand the Bionic Eye
320
Notes
339
Bibliography
348
Exercises
361

9 The CNN Universal Machine CNNUM
239
10 Template design tools
258
11 CNNs for linear image processing
267
Appendices
389
Index
390
Copyright

Common terms and phrases

Bibliographic information