Adaptive Filtering: Algorithms and Practical Implementation / Edition 4

Adaptive Filtering: Algorithms and Practical Implementation / Edition 4

by Paulo S. R. Diniz
ISBN-10:
1461441056
ISBN-13:
9781461441052
Pub. Date:
08/13/2012
Publisher:
Springer US

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Overview

Adaptive Filtering: Algorithms and Practical Implementation / Edition 4

A graduate or undergraduate textbook explaining adaptive filtering algorithms used in many statistical signal processing applications. Students are assumed to have a background in the basic principles of digital signal processing and stochastic processes. No date is mentioned for the first edition. Annotation c. Book News, Inc., Portland, OR

Product Details

ISBN-13: 9781461441052
Publisher: Springer US
Publication date: 08/13/2012
Edition description: 4th ed. 2013
Pages: 652
Product dimensions: 6.00(w) x 9.20(h) x 1.60(d)

Table of Contents

Preface. 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. Index.

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