本书从特定工程系统的特性或特征引入自适应的概念。描述一种可用于分析所有自适应系统的几何“性能表面”。包含性能表面梯度估值的统计分析，以及各种搜索方法的比较。介绍了LMS算法与线性组合器以及其他自适应算法和结构，如序贯回归算法与自适应格型滤波结构等。涵盖了自适应信号处理的主要应用。介绍了自适应模拟与自适应逆模拟及其在通信和控制领域的应用。包含了自适应干扰对消。介绍了自适应阵和波束形成。

本书是自适应信号处理方面的一部经典著作，系统介绍了自适应信号处理的原理、算法和结构及其在各个领域的应用。本书既有理论分析，又有物理概念阐述，核心内容是自适应线性组合器、LMS算法、自适应模拟与系统辨识、自适应控制系统、自适应波束形成器的分析。本书要求读者具备工程和数学方面的基础知识，并具有编写和运行计算机程序的能力。

LIST OF SYMBOLS

part ⅠGENERAL INTRODUCTION Objectives of Part Ⅰ

　1 ADAPTIVE SYSTEMS

　　Definition. and Characteristics

　　Areas of Application

　　General Properties

　　Open- and Closed-Loop Adaptation

　　Applications of Closed-Loop Adaptation

　　Example of an Adaptive System

　　The Chapters Ahead

　2 THE ADAPTIVE LINEAR COMBINER

　　General Description

　　Input Signal and Weight Vectors

　　Desired Response and Error

　　The Performance Function

　 Gradient and Minimum Mean-Square Error

　　Example of a Performance Surface

　　Alternative Expression of the GradiEnt

　　Decorrelation of Error and Input Components

　　Exercises

part Ⅱ THEORY OF ADAPTATION WITH STATIONARY SIGNALS

Objectives of Part Ⅱ

　3 PROPERTIES OF THE QUADRATIC PERFORMANCE SURFACE

　　Normal Form of the Input Correlation Matrix

　　Eigenvalues and Eigenvectors of the Input Correlation Matrix

　　An Example with Two Weights

　　Geometrical Significance of Eigenvectors and Eigenvalues

　　A Second Example

　　Exercises

　4 SEARCHING THE PERFORMANCE SURFACE

　　Methods of Searching the Performance Surface

　　Basic Ideas of Gradient Search Methods

　　A Simple Gradient Search Algorithm and Its Solution

　　Stability and Rate of Convergence

　　The Learning Curve

　　Gradient Search by Newton's Method

　　Newton's Method in Multidimensional Space

　　Gradient Search by the Method of Steepest Descent

　　Comparison of Learning Curves

　　Exercises

 5 GRADIENT ESTIMATION AND ITS EFFECTS ON ADAPTATION

　　Gradient Component Estimation by Derivative Measurement

part Ⅲ ADAPTIVE AL GORITHMS AND STRUCTURES

part Ⅳ APPLICATIONS

APPENDIX A A Portable Random Number Generator

INDEX