LIST OF SYMBOLSpart 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　　Exercisespart Ⅱ THEORY OF ADAPTATION WITH STATIONARY SIGNALSObjectives 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 Measurementpart Ⅲ ADAPTIVE AL GORITHMS AND STRUCTURESpart Ⅳ APPLICATIONSAPPENDIX A A Portable Random Number GeneratorINDEX
· · · · · · (收起)