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2020-02-17 14:33 來源：京東作者：京東

內(nèi)容簡(jiǎn)介: 《自適應(yīng)信號(hào)處理（英文版）》是自適應(yīng)信號(hào)處理方面的一部經(jīng)典著作，系統(tǒng)介紹了自適應(yīng)信號(hào)處理的原理、算法和結(jié)構(gòu)及其在各個(gè)領(lǐng)域的應(yīng)用?！蹲赃m應(yīng)信號(hào)處理（英文版）》既有理論分析，又有物理概念闡述，核心內(nèi)容是自適應(yīng)線性組合器、LMS算法、自適應(yīng)模擬與系統(tǒng)辨識(shí)、自適應(yīng)控制系統(tǒng)、自適應(yīng)波束形成器的分析?！蹲赃m應(yīng)信號(hào)處理（英文版）》要求讀者具備工程和數(shù)學(xué)方面的基礎(chǔ)知識(shí)，并具有編寫和運(yùn)行計(jì)算機(jī)程序的能力。 《自適應(yīng)信號(hào)處理（英文版）》特色： ·從特定工程系統(tǒng)的特性或特征引入自適應(yīng)的概念； ·描述一種可用于分析所有自適應(yīng)系統(tǒng)的幾何“性能表面”； ·包含性能表面梯度估值的統(tǒng)計(jì)分析，以及各種搜索方法的比較； ·介紹了LMS算法與線性組合器以及其他自適應(yīng)算法和結(jié)構(gòu)，如序貫回歸算法與自適應(yīng)格型濾波結(jié)構(gòu)等； ·涵蓋了自適應(yīng)信號(hào)處理的主要應(yīng)用； ·介紹了自適應(yīng)模擬與自適應(yīng)逆模擬，及其在通信和控制領(lǐng)域的應(yīng)用； ·包含了自適應(yīng)干擾對(duì)消； ·介紹了自適應(yīng)陣和波束形成。

作者簡(jiǎn)介: 作者：(美國(guó))斯坦福大學(xué) (美國(guó))新墨西哥大學(xué)

目錄: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

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