《自适应信号处理（英文版）》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。《自适应信号处理（英文版）》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。《自适应信号处理（英文版）》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。
《自适应信号处理（英文版）》特色：
·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。

作者简介

作者：(美国)斯坦福大学 (美国)新墨西哥大学

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