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Adaptive filtering : algorithms and practical implementation

Author: Paulo Sergio Ramirez Diniz
Publisher: New York : Springer, ©2008.
Series: Kluwer international series in engineering and computer science, SECS 694.
Edition/Format:   eBook : Document : English : 3rd edView all editions and formats
Summary:

This book presents basic concepts of adaptive signal processing and adaptive filtering in a concise and straightforward manner.

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Genre/Form: Electronic books
Additional Physical Format: Print version:
Diniz, Paulo Sergio Ramirez, 1956-
Adaptive filtering.
New York : Springer, ©2008
(OCoLC)245555549
Material Type: Document, Internet resource
Document Type: Internet Resource, Computer File
All Authors / Contributors: Paulo Sergio Ramirez Diniz
ISBN: 9780387686066 0387686061 0387312749 9780387312743 9780470253885 0470253886
OCLC Number: 318586728
Notes: Previous edition: Boston, Mass.: Kluwer Academic, 2002.
Description: 1 online resource (xxiv, 627 pages) : illustrations.
Contents: Introduction to Adaptive Filtering.- Fundamentals of Adaptive Filtering.- The Least-Mean-Square (LMS) Algorithm.- LMS-Based Algorithms.- Conventional RLS Adaptive Filter.- Data-Selective Adaptive Filtering.- Adaptive Lattice-Based RLS Algorithms.- Fast Transversal RLS Algorithms.- QR-Decomposition-Based RLS Filters.- Adaptive IIR Filters.- Nonlinear Adaptive Filtering.- Subband Adaptive Filters.- Blind Adaptive Filtering.- Appendix A: Complex Differentiation.- Appendix B: Quantization Effects in the LMS Algorithm.- Appendix C: Quantization Effects in the RLS Algorithm.- Appendix D: Kalman Filters.
Series Title: Kluwer international series in engineering and computer science, SECS 694.
Responsibility: Paulo S.R. Diniz.

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From the reviews of the third edition: "This text concentrates on studying on-line algorithms, those whose adaptation occurs whenever a new sample of each environment signal is available. ... This Read more...

 
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