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Adaptive Signal Processing

Theory and Applications

  • Book
  • © 1986

Overview

Authors:
  1. S. Thomas Alexander

    1. Department of Electrical and Computer Engineering, North Carolina State University, Raleigh, USA

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Part of the book series: Monographs in Computer Science (MCS)

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Table of contents (11 chapters)

  1. Front Matter

    Pages i-ix
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  2. Introduction

    • S. Thomas Alexander
    Pages 1-7

  3. The Mean Square Error (MSE) Performance Criteria

    • S. Thomas Alexander
    Pages 8-33

  4. Linear Prediction and the Lattice Structure

    • S. Thomas Alexander
    Pages 34-45

  5. The Method of Steepest Descent

    • S. Thomas Alexander
    Pages 46-67

  6. The Least Mean Squares (LMS) Algorithm

    • S. Thomas Alexander
    Pages 68-86

  7. Applications of the LMS Algorithm

    • S. Thomas Alexander
    Pages 87-98

  8. Gradient Adaptive Lattice Methods

    • S. Thomas Alexander
    Pages 99-110

  9. Chapter 8 Recursive Least Squares Signal Processing

    • S. Thomas Alexander
    Pages 111-122

  10. Vector Spaces for RLS Filters

    • S. Thomas Alexander
    Pages 123-141

  11. The Least Squares Lattice Algorithm

    • S. Thomas Alexander
    Pages 142-153

  12. Fast Transversal Filters

    • S. Thomas Alexander
    Pages 154-176

  13. Back Matter

    Pages 177-179
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Keywords

About this book

The creation of the text really began in 1976 with the author being involved with a group of researchers at Stanford University and the Naval Ocean Systems Center, San Diego. At that time, adaptive techniques were more laboratory (and mental) curiosities than the accepted and pervasive categories of signal processing that they have become. Over the lasl 10 years, adaptive filters have become standard components in telephony, data communications, and signal detection and tracking systems. Their use and consumer acceptance will undoubtedly only increase in the future. The mathematical principles underlying adaptive signal processing were initially fascinating and were my first experience in seeing applied mathematics work for a paycheck. Since that time, the application of even more advanced mathematical techniques have kept the area of adaptive signal processing as exciting as those initial days. The text seeks to be a bridge between the open literature in the professional journals, which is usually quite concentrated, concise, and advanced, and the graduate classroom and research environment where underlying principles are often more important.

Authors and Affiliations

  • Department of Electrical and Computer Engineering, North Carolina State University, Raleigh, USA

    S. Thomas Alexander

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