Analog VLSI Integration of Massive Parallel Signal Processing Systems

Name: Analog VLSI Integration of Massive Parallel Signal Processing Systems
Brand: Springer
SKU: 9780792398233
Price: 58426 HUF
Availability: InStock

Szerző: Peter Kinget, Michiel Steyaert

Nyelv:

Kötés: Kemény kötésű

Kiadó: Springer

Elérhetőség: Beszállítói készleten

Küldés 10-13 napon belül

58 426 Ft

When comparing conventional computing architectures to the architectures of biological neural system...

Információk a könyvről

Szerző

Peter Kinget, Michiel Steyaert

Nyelv

Angol

Kötés

Könyv - Kemény kötésű

Kiadva

1996

oldal

228

EAN

9780792398233

ISBN

0792398238

Enbook ID

01398479

Kiadó

Springer

Súly

1160

Méretek

155 x 235 x 18

Teljes leírás

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.

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Analog VLSI Integration of Massive Parallel Signal Processing Systems

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