Cellular Neural Networks and Analog VLSI
Leon O. Chua (Editor), Edmund Pierzchala (Editor), Glenn Gulak (Editor), ngel Rodríguez-VázquezBooks.org participates in affiliate programs including Bookshop.org and the Amazon Services LLC Associates Program. We may earn a commission from qualifying purchases made through links on this page, at no additional cost to you.
Overview
Cellular Neural Networks and Analog VLSI brings together in one place important contributions and up-to-date research results in this fast moving area.
Cellular Neural Networks and Analog VLSI serves as an excellent reference, providing insight into some of the most challenging research issues in the field.
Synopsis
Cellular Neural Networks and Analog VLSI brings together in one place important contributions and up-to-date research results in this fast moving area.
Cellular Neural Networks and Analog VLSI serves as an excellent reference, providing insight into some of the most challenging research issues in the field.
Booknews
Seven papers demonstrate recent results in the broad class of analog systems called "cellular neural networks" (CNNs), which consist of an array of locally-interacted analog circuit units, called "cells." The architecture, design, and implementation of a number of different CNN chips are examined in detail, and numerous schematic drawing are included throughout. A special issue of , v.15, no.3, 1998. Annotation c. by Book News, Inc., Portland, Or.