Adaptive Signal Processing (s)

The Adaptive Linear Combiner… The LMS Algorithm… Adaptive Modeling and System Identification… Adaptive Control Systems… Analysis of Adaptive Beamformers.
These are a few examples of the chapter titles in this new book by Bernard Widrow and Samuel D. Stearns. The authors designed the book as a basic text on adaptive signal processing covering a wide range of subject matter.
A background in engineering and mathematics plus an ability to write and run computer programs is assumed.

Features

Among its many features, the book:
Introduces the concept of adaptation as a property or characteristic of certain engineering systems.
Describes a geometric "performance surface" for the analysis of all adaptive systems.
Contains a statistical analysis of gradient estimation on the performance surface, and a comparison of search methods.
Discusses the least mean squares (LMS) algorithm.
Provides an introduction to adaptive algorithms and structures other than the LMS algorithm and the adaptive linear combiner, including a sequential regression algorithm and the adaptive lattice structure.
Covers the major applications of adaptive signal processing.
Introduces forward and inverse adaptive modeling, including applications to communications and control.
Cover adaptive interference canceling.
Introduces adaptive arrays and beamforming.

Contents

Part-I: GENERAL INTRODUCTION

Adaptive Systems
The Adaptive Linear Combiner

Part-II: THEORY OF ADAPTATION WITH STATIONARY SIGNALS

Properties of the Quadratic Performance Surface
Searching The Performance Surface
Gradient Estimation and Its Effects on Adaptation

Part-III: ADAPTIVE ALGORITHMS AND STRUCTURES

The LMS Algorithm
The z-Transform in Adaptive Signal Processing
Other Adaptive Algorithms and Structures

Part-IV: APPLICATIONS

Adaptive Modeling and System Identification
Inverse Adaptive Modeling, Deconvolution, and Equalization
Adaptive Interference Canceling
Introduction to Adaptive Arrays and Adaptive Beamforming
Analysis of Adaptive Beamformers