Principles of adaptive filters and self-learning systems /

Principles of adaptive filters and self-learning systems /

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Bibliographic Details
Author / Creator:Zaknich, Anthony.
Imprint:[London] : Springer London, 2005.
Description:1 online resource (xxii, 386 p.) : ill.
Language:English
Series:Advanced textbooks in control and signal processing
Advanced textbooks in control and signal processing.
Subject:
Adaptive filters -- Design and construction -- Mathematics.
Artificial intelligence.
Artificial intelligence.
Format: E-Resource Book
URL for this record:http://pi.lib.uchicago.edu/1001/cat/bib/8875695
Hidden Bibliographic Details
ISBN:1852339845 (pbk. : alk. paper)
9781852339845 (hard cover : alk. paper)
9781846281211
1846281210
6611328572
9786611328573
Notes:Includes bibliographical references and index.
Summary:"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."--Jacket.
Other form:Print version: Zaknich, Anthony. Principles of adaptive filters and self-learning systems. [London] : Springer London, 2005 1852339845 9781852339845
Table of Contents:
  • Part I. Introduction Adaptive Filtering Linear Systems and Stochastic Processes
  • Part II. Modelling Optimisation and Least Square Estimation Parametric Signal and System Modelling
  • Part III. Classical Filters and Spectral Analysis Optimum Wiener Filter Optimal Kalman Filter Power Spectral Density Analysis
  • Part IV. Adaptive Filter Theory Adaptive Finite Impulse Response Filters Frequency Domain Adaptive Filters Adaptive Volterra Filters Adaptive Control Systems
  • Part V. Nonclassical Adaptive Systems Introduction to Neural Networks Introduction to Fuzzy Logic Systems Introduction to Genetic Algorithms
  • Part VI. Adaptive Filter Application Applications of Adaptive Signal Processing Generic Adaptive Filter Structures

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