Overview
- Presents a concise overview of adaptive filtering, covering as many algorithms as possible in a unified form that avoids repetition and simplifies notation
Part of the book series: The Springer International Series in Engineering and Computer Science (SECS, volume 694)
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Table of contents (12 chapters)
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Front Matter
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Back Matter
Keywords
About this book
This second edition contains a substantial amount of new material:
-Two new chapters on nonlinear and subband adaptive filtering;
-Linearly constrained Weiner filters and LMS algorithms;
-LMS algorithm behavior in fast adaptation;
-Affine projection algorithms;
-Derivation smoothing;
-MATLAB codes for algorithms.
Authors and Affiliations
Bibliographic Information
Book Title: Adaptive Filtering
Book Subtitle: Algorithms and Practical Implementation
Authors: Paulo Sergio Ramirez
Series Title: The Springer International Series in Engineering and Computer Science
DOI: https://doi.org/10.1007/978-1-4757-3637-3
Publisher: Springer New York, NY
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eBook Packages: Springer Book Archive
Copyright Information: Springer Science+Business Media New York 2002
eBook ISBN: 978-1-4757-3637-3Published: 14 March 2013
Series ISSN: 0893-3405
Edition Number: 2
Number of Pages: XXI, 568
Number of Illustrations: 68 b/w illustrations
Topics: Signal, Image and Speech Processing, Circuits and Systems, Electrical Engineering, Image Processing and Computer Vision