Analog VLSI integration of massive parallel processing systems
By: by Peter Kinget, Katholieke Universiteit Leuven, Heverlee, Belgium, and Michiel Steyaert, Katholieke Universiteit Leuven, Heverlee, Belgium
Contributors: Steyaert, Michiel, 1959- author
Series: Springer international series in engineering and computer science -- 384; International series in engineering and computer science -- 384.
Published: 1997
Language: eng
Number of pages: 228
ISBN-13: 9781475725803; 9781441951687
Subjects: Signal processing; Parallel processing (Electronic computers); Neural networks (Computer science); Linear integrated circuits; Digital techniques
Description: When comparing conventional computing architectures to the architectures of biological neural systems, there are 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 different computing paradigm: a massive network of simple processors that are (adaptively) interconnected and operate in parallel. This massively parallel processing seems the key aspect to their success. The advent of VLSI technologies has provided us with the technological means to implement very complicated systems on a silicon die. Analog VLSI circuits in standard digital technologies open the way for the implementation of massively parallel analog signal processing systems for sensory signal processing applications and for perception tasks. Analog VLSI Integration of Massive Parallel Processing Systems describes in depth the theory and practice of designing these massively parallel analog signal processing systems. Techniques are described which overcome the device and transistor mismatches which limit performance of the system. The book also shows how such a system can be efficiently implemented using cellular Neural Networks. Analog VLSI Integration of Massive Parallel Processing Systems is essential reading for practicing analog design engineers and researchers in the field. It is also suitable as a text for an advanced course on the subject.
Notes: Originally published: 1997.

Includes bibliographical references and index.

Print version record.