Book
Principles of Adaptive Filters and Self-learning Systems
Springer International Publishing
2005
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.
Details
- Title
- Principles of Adaptive Filters and Self-learning Systems
- Authors/Creators
- A. Zaknich (Author/Creator)
- Publisher
- Springer International Publishing
- Identifiers
- 978-1-84628-121-1; 991005541928907891
- Copyright
- © 2005 Springer
- Murdoch Affiliation
- School of Engineering Science
- Language
- English
- Resource Type
- Book
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