Diniz Adaptive Filtering

Algorithms and Practical Implementation
Third Auflage 2008
ISBN: 978-0-387-68606-6
Verlag: Springer US
Format: PDF
Kopierschutz: 1 - PDF Watermark

E-Book, Englisch, 636 Seiten, Web PDF

Reihe: Engineering (R0)

This book presents the basic concepts of adaptive signal processing and adaptive filtering in a concise and straightforward manner. The main classes of adaptive filtering algorithms are introduced in a unifed framework, using clear notations that facilitate actual implementation. The most important algorithms are described in detailed tables which allow the reader to verify learned concepts. Many examples address problems drawn from actual applications. The book covers the family of LMS and algorithms as well as set-membership, sub-band, blind, IIR adaptive filtering, and more. A user-friendly MATLAB package enables the reader to easily solve new problems and quickly test all of the algorithms. The book also provides access to algorithms for practicing engineers. The book is also supported by a web page maintained by the author.

Zielgruppe

Graduate

Autoren/Hrsg.

Diniz, Paulo S. R.

Inhaltsverzeichnis

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.