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 Tamas Roska are both highly respected
pioneers in the field.
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