Adaptive Filtering: Algorithms and Practical Implementation / Edition 4

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"Adaptive Filtering: Algorithms and Practical Implementation, Third Edition presents basic concepts of adaptive signal processing and filtering in a concise and straightforward manner. It concentrates on on-line algorithms whose adaptation occurs whenever a new sample of each environment signal is available. The material also illustrates block algorithms using a sub-band filtering framework whose adaptation occurs when a new block of data is available." "Algorithms are presented in a unified framework using a consistent notation that facilitates their actual implementation. The main algorithms are summarized and described in tables. Many examples address problems drawn from actual applications. The family of LMS and RLS algorithms as well as set-membership, sub-band, blind, nonlinear and IIR adaptive filtering, are covered. Problems are included at the end of chapters." Adaptive Filtering: Algorithms and Practical Implementation, Third Edition is intended for advanced undergraduate and graduate students studying adaptive filtering and will also serve as an up-to-date and useful reference for professional engineers working in the field.
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Editorial Reviews

A textbook for a graduate or undergraduate course in adaptive signal processing, for students with previous background in the basic principles of digital signal processing and stochastic processes. Focuses on describing a large number of algorithms rather than adapting notation and derivations, and shows how they work in a finite-precision implementation. Annotation c. by Book News, Inc., Portland, Or.
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Product Details

  • ISBN-13: 9781461441052
  • Publisher: Springer US
  • Publication date: 8/13/2012
  • Edition description: 4th ed. 2013
  • Edition number: 4
  • Pages: 654
  • Product dimensions: 6.00 (w) x 9.20 (h) x 1.60 (d)

Table of Contents

1 Introduction to Adaptive Filtering 1

2 Fundamentals of Adaptive Filtering 13

3 The Least-Mean-Square (LMS) Algorithm 77

4 LMS-Based Algorithms 131

5 Conventional RLS Adaptive Filter 195

6 Data-Selective Adaptive Filtering 231

7 Adaptive Lattice-Based RLS Algorithms 289

8 Fast Transversal RLS Algorithms 333

9 QR-Decomposition-Based RLS Filters 351

10 Adaptive IIR Filters 395

11 Nonlinear Adaptive Filtering 451

12 Subband Adaptive Filters 485

13 Blind Adaptive Filtering 537

A Complex Differentiation 571

B Quantization Effects in the LMS Algorithm 577

C Quantization Effects in the RLS Algorithm 589

D Kalman Filters 605

Index 617

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