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Principles of Adaptive Filters and Self-learning Systems

Zaknich, A. (2005) Principles of Adaptive Filters and Self-learning Systems. Springer International Publishing.

Link to Published Version: https://www.springer.com/gp/book/9781852339845
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Abstract

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.

Item Type: Book
Murdoch Affiliation: School of Engineering Science
Publisher: Springer International Publishing
Copyright: © 2005 Springer
URI: http://researchrepository.murdoch.edu.au/id/eprint/41569
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