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Cellular Neural Networks and Visual Computing

Cellular Neural Networks and Visual Computing Foundations and Applications

Paperback (25 Aug 2005)

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Publisher's Synopsis

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.

About the Publisher

Cambridge University Press

Cambridge University Press dates from 1534 and is part of the University of Cambridge. We further the University's mission by disseminating knowledge in the pursuit of education, learning and research at the highest international levels of excellence.

Book information

ISBN: 9780521018630
Publisher: Cambridge University Press
Imprint: Cambridge University Press
Pub date:
DEWEY: 006.32
DEWEY edition: 22
Language: English
Number of pages: 412
Weight: 1008g
Height: 254mm
Width: 178mm
Spine width: 24mm