Diniz Adaptive Filtering

Algorithms and Practical Implementation
2. Auflage 2002
ISBN: 978-1-4757-3637-3
Verlag: Springer US
Format: PDF
Kopierschutz: 1 - PDF Watermark

E-Book, Englisch, 568 Seiten, Web PDF

Reihe: Engineering (R0)

Adaptive Filtering: Algorithms and Practical Implementation, Second Edition, presents a concise overview of adaptive filtering, covering as many algorithms as possible in a unified form that avoids repetition and simplifies notation. It is suitable as a textbook for senior undergraduate or first-year graduate courses in adaptive signal processing and adaptive filters. The philosophy of the presentation is to expose the material with a solid theoretical foundation, to concentrate on algorithms that really work in a finite-precision implementation, and to provide easy access to working algorithms. Hence, practicing engineers and scientists will also find the book to be an excellent reference.
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.

Zielgruppe

Professional/practitioner

Autoren/Hrsg.

Diniz, Paulo S.R.

Inhaltsverzeichnis

1 Introduction to Adaptive Filtering.- 2 Fundamentals of Adaptive Filtering.- 3 The Least-Mean-Square (LMS) Algorithm.- 4 LMS-Based Algorithms.- 5 Conventional RLS Adaptive Filter.- 6 Adaptive Lattice-Based RLS Algorithms.- 7 Fast Transversal RLS Algorithms.- 8 QR-Decomposition-Based RLS Filters.- 9 Adaptive IIR Filters.- 10 Nonlinear Adaptive Filtering.- 11 Subband Adaptive Filters.- A Quantization Effects in the LMS and RLS Algorithms.