Analog VLSI Integration of Massive Parallel Signal Processing Systems / Edition 1

by Peter Kinget, Michiel Steyaert

Overview

When comparing conventional computing architectures to the architectures of biological neural systems, we find several striking differences. Conventional computers use a low number of high performance computing elements that are programmed with algorithms to perform tasks in a time sequenced way; they are very successful in administrative applications, in scientific simulations, and in certain signal processing applications. However, the biological systems still significantly outperform conventional computers in perception tasks, sensory data processing and motory control. Biological systems use a completely dif­ ferent computing paradigm: a massive network of simple processors that are (adaptively) interconnected and operate in parallel. Exactly this massively parallel processing seems the key aspect to their success. On the other hand the development of VLSI technologies provide us with technological means to implement very complicated systems on a silicon die. Especially analog VLSI circuits in standard digital technologies open the way for the implement at ion of massively parallel analog signal processing systems for sensory signal processing applications and for perception tasks. In chapter 1 the motivations behind the emergence of the analog VLSI of massively parallel systems is discussed in detail together with the capabilities and !imitations of VLSI technologies and the required research and developments. Analog parallel signal processing drives for the development of very com­ pact, high speed and low power circuits. An important technologicallimitation in the reduction of the size of circuits and the improvement of the speed and power consumption performance is the device inaccuracies or device mismatch.

Product Details

ISBN-13:	9780792398233
Publisher:	Springer US
Publication date:	11/30/1996
Series:	The Springer International Series in Engineering and Computer Science , #384
Edition description:	1997
Pages:	228
Product dimensions:	6.10(w) x 9.25(h) x 0.36(d)

Table of Contents

1. Analog Parallel Signal Processing.- 2. Implications of Mismatch on Analog VLSI.- 3. Implementation Oriented Theory for CNN’s.- 4. VLSI Implementation of CNN’s.- 5. General Conclusions.- Appendices.- A- MOS transistor models.

Editorial Reviews

Describes the theory and practice of designing systems on a silicon die that mimic biological systems with a massive network of simple processors that are adaptively interconnected and operate in parallel, thus increasing their potential for the sensory signal processing and perception tasks that conventional digital computers are not very good at. Covers analog parallel signal processing, implications of mismatch on analog VSLI, and implementation oriented theory and VLSI implementation of cellular neural networks. Annotation c. by Book News, Inc., Portland, Or.

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