Principles of Adaptive Filters and Self-Learning Systems

Author:   Anthony Zaknich
Publisher:   Springer
ISBN:  

9781848008830


Pages:   412
Publication Date:   15 September 2008
Format:   Undefined
Availability:   Out of stock   Availability explained


Our Price $65.87 Quantity:  
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Principles of Adaptive Filters and Self-Learning Systems


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Overview

Kalman and Wiener Filters, Neural Networks, Genetic Algorithms and Fuzzy Logic Systems Together in One Text Book

How can a signal be processed for which there are few or no a priori data?

Professor Zaknich provides an ideal textbook for one-semester introductory graduate or senior undergraduate courses in adaptive and self-learning systems for signal processing applications. Important topics are introduced and discussed sufficiently to give the reader adequate background for confident further investigation. The material is presented in a progression from a short introduction to adaptive systems through modelling, classical filters and spectral analysis to adaptive control theory, nonclassical adaptive systems and applications.

Features:

  • Comprehensive review of linear and stochastic theory.
  • Design guide for practical application of the least squares estimation method and Kalman filters.
  • Study of classical adaptive systems together with neural networks, genetic algorithms and fuzzy logic systems and their combination to deal with such complex problems as underwater acoustic signal processing.
  • Tutorial problems and exercises which identify the significant points and demonstrate the practical relevance of the theory.
  • PDF Solutions Manual, available to tutors from springeronline.com, containing not just answers to the tutorial problems but also course outlines, sample examination material and project assignments to help in developing a teaching programme and to give ideas for practical investigations.

Full Product Details

Author:   Anthony Zaknich
Publisher:   Springer
Imprint:   Springer
Dimensions:   Width: 23.40cm , Height: 2.10cm , Length: 15.60cm
Weight:   0.576kg
ISBN:  

9781848008830


ISBN 10:   184800883
Pages:   412
Publication Date:   15 September 2008
Audience:   General/trade ,  General
Format:   Undefined
Publisher's Status:   Unknown
Availability:   Out of stock   Availability explained

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Reviews

From the reviews: <p> An excellent tutorial for graduate students and a comprehensive introduction for researchers working in adaptive systems. Summing Up: Highly Recommended. <br>(J. Y. Cheung, Choice, February, 2006)


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