Analog Parallel Signal Processing

  • Peter Kinget
  • Michiel Steyaert
Chapter
Part of the The Springer International Series in Engineering and Computer Science book series (SECS, volume 384)

Abstract

When the capabilities of present-day artificial information processing systems are compared to the capabilities of biological systems a few striking conclusions have to be drawn. Our present-day computers are mainly built with serial processors, which can process only one instruction on one data element at a time but they achieve a very high clock speed and accuracy. In this way they can perform a whole set of data-manipulation operations on very large data sets at very high speed. In order to solve a given problem an explicit algorithm or solution strategy has to be conceived, that when correctly programmed, yields a correct result after execution. In administrative applications, in scientific simulations, and for certain signal processing applications this computing power has been applied very successfully and has supported much of the technological and scientific progress of the last decennia. But in several application fields, however, the impact of the introduction of computers has not led to the expected solution of problems.

Keywords

Digital System Analog Circuit Cellular Neural Network Biological Neural Network Parallel Signal Processing 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer Science+Business Media Dordrecht 1997

Authors and Affiliations

  • Peter Kinget
    • 1
  • Michiel Steyaert
    • 1
  1. 1.Katholieke Universiteit LeuvenHeverleeBelgium

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