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Science/Engineering Principles of Adaptive Filters and Self-learning Systems

Posted on 2010-03-15




Name:Science/Engineering Principles of Adaptive Filters and Self-learning Systems
ASIN/ISBN:1852339845
Language:English
File size:3 Mb
Publisher: Springer
Pages: 386
Publish Date: 2005-07-22
ISBN: 1852339845
File Type: PDF
File Size: 3 MB
   Science/Engineering Principles of Adaptive Filters and Self-learning Systems

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Principles of Adaptive Filters and Self-learning Systems

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.

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