Cellular Neural Networks and Analog VLSI

✍ Scribed by J. M. Cruz, L. O. Chua (auth.), Leon O. Chua, Glenn Gulak, Edmund Pierzchala, Angel Rodríguez-Vázquez (eds.)

Publisher: Springer US
Year: 1998
Tongue: English
Leaves: 104
Edition: 1
Category: Library

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✦ 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.

✦ Table of Contents

Front Matter....Pages i-2
A 16 x 16 Cellular Neural Network Universal Chip: The First Complete Single-Chip Dynamic Computer Array with Distributed Memory and with Gray-Scale Input-Output....Pages 3-13
A 6 x 6 Cells Interconnection-Oriented Programmable Chip for CNN....Pages 15-26
Analog VLSI Design Constraints of Programmable Cellular Neural Networks....Pages 27-38
Focal-Plane and Multiple Chip VLSI Approaches to CNNs....Pages 39-51
Architecture and Design of 1-D Enhanced Cellular Neural Network Processors for Signal Detection....Pages 53-66
Analog VLSI Circuits for Competitive Learning Networks....Pages 67-90
Design of Neural Networks Based on Wave-Parallel Computing Technique....Pages 91-103

✦ Subjects

Electrical Engineering;Statistical Physics, Dynamical Systems and Complexity;Computer Science, general

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