实例介绍
【实例简介】
自适应滤波器的权威Sayed的大作，用大量的实例诠释自适应滤波器的各种算法原理，是不可多得的好书。
ADAPTIVE FILTERS ADAPTIVE FILTERS ALIH SAYED University of California at Los Angeles ◆旧EEE IEEE Press WIlEY NTERSCIENCE A JOHN WILEY SONS, INC, PUBLICATION Cover design by Michael Rutkowski Copyright C 2008 by John Wiley Sons, Inc. All rights reserved Published by John Wiley Sons, Inc, Hoboken, New Jersey Published simultaneously in Canada No part of this publication may be reproduced, stored in a retrieval system, or transmitted in any form or by means, electronic, mechanical, photocopying, recording, scanning, or otherwise, except as permitted under any Section 107 or 108 of the 1976 United States Copyright Act, without either the prior written permission of the Publisher, or authorization through payment of the appropriate per-copy fee to the Copyright Clearance Center, Inc, 222 Rosewood Drive, Danvers, MA01923, (978)750-8400, fax(978)750-4470, or on the web at www.copyright.comRequeststothePublisherforpermissionshouldbeaddressedtothePermissions Department, John Wiley sons, Inc, 111 River Street, Hoboken, NJ,(201)748-6011, fax(201)748- 6008,oronlineathttp:/www.wiley.com/go/permission Limit of Liability/Disclaimer of Warranty: While the publisher and author have used their best efforts in preparing this book, they make no representations or warranties with respect to the accuracy or completeness of e contents of this book and specifically disclaim any implied warranties of merchantability or fitness for a articular purpose. No warranty may be created or extended by sales representatives or written sales materials The advice and strategies contained herein may not be suitable for your situation. You should consult with a professional where appropriate. Neither the publisher nor author shall be liable for any loss of profit or any other commercial damages, including but not limited to special, incidental, consequential, or other damages For general information on our other products and services or for technical support, please contact our Customer Care Department within the United States at(800)762-2974, outside the United States at (317)572-3993 or fax (317)572-4002 Wiley also publishes its books in a variety of electronic formats. Some content that appears in print may not be available in electronic formats. For more information about wiley products, visit our web site at www.wlley.con Library of Congress Cataloging-in-Publication Data: Sayed, Ali h Adaptive filters/Ali H. Sayed p cm Includes bibliographical references and index ISBN9780470-25388-5( cloth) Adaptive filters. I. Title TK7872F5s2852008 62138l5324dc22 2008003731 Printed in the united states of america 10987654321 To my parents Contents Preface xvii Notation XXV Acknowledgments XXX BACKGROUND MATERIAL A Random variables A 1 Variance of a random variable A2 Dependent random Variables A3 Complex-Valued Random Variables A 4 Vector -Valued Random variables 3467 A.5 Gaussian Random Vectors B Linear Algebra 12 B. Hermitian and Positive- Definite matrices B 2 Range spaces and nullspace of matrices 14 B3 Schur Complements 16 B 4 Cholesky factorization B 5 QR Decomposition B6 Singular Value Decomposition 20 B 7 Kronecker products C Complex Gradients 25 C 1 Cauchy-Riemann Conditions 5 C2 Scalar arguments 26 C3 Vector arguments 26 PART:。 PTIMAL ESTIMATION Scalar- Valued Data 29 1. 1 Estimation Without observations 1.2 Estimation Given Dependent observations 1.3 Orthogonality Principl 36 CONTENTS 1,4 Gaussian random variables 38 2 Vector- Valued Data 42 2. 1 Optimal Estimator in the vector Case 42 2.2 Spherically Invariant Gaussian Variables 46 2. 3 Equivalent Optimization Criterion 49 Summary and Notes 51 Problems and Computer Projects 54 PART I: LINEAR ESTIMATION 3 Normal Equatlons 60 3. 1 Mean-Square Error Criterion 61 3.2 Minimization by Differentiation 3.3 Minimization by Completion-of-Squares 63 3.4 Minimization of the error Covariance matrix 65 3.5 Optimal Linear estimator 4 Orthogonality princlple 4. 1 Design Examples 4.2 Orthogonality Condition 4.3 Existence of solutions 74 4, 4 Nonzero-Mean variables 5 Linear Models 5.1 Estimation using Linear Relations 5.2 Application: Channel Estimation 5 Application: Block Data Estimation 81 5. 4 Application: Linear Channel equalization 82 5.5 Application: Multiple-Antenna Receivers 85 Constralned estimation 87 6.1 Minimum-Variance Unbiased estimation 6.2 Example: Mean Estimation 6.3 Application: Channel and Noise Estimation 91 6.4 Application: Decision Feedback Equalization 6.5 Application: Antenna Beamforming 101 7 Kalman Filter 104 7.1 Innovations process 7.2 State-Space Model 106 【实例截图】
【核心代码】
自适应滤波器的权威Sayed的大作，用大量的实例诠释自适应滤波器的各种算法原理，是不可多得的好书。
ADAPTIVE FILTERS ADAPTIVE FILTERS ALIH SAYED University of California at Los Angeles ◆旧EEE IEEE Press WIlEY NTERSCIENCE A JOHN WILEY SONS, INC, PUBLICATION Cover design by Michael Rutkowski Copyright C 2008 by John Wiley Sons, Inc. All rights reserved Published by John Wiley Sons, Inc, Hoboken, New Jersey Published simultaneously in Canada No part of this publication may be reproduced, stored in a retrieval system, or transmitted in any form or by means, electronic, mechanical, photocopying, recording, scanning, or otherwise, except as permitted under any Section 107 or 108 of the 1976 United States Copyright Act, without either the prior written permission of the Publisher, or authorization through payment of the appropriate per-copy fee to the Copyright Clearance Center, Inc, 222 Rosewood Drive, Danvers, MA01923, (978)750-8400, fax(978)750-4470, or on the web at www.copyright.comRequeststothePublisherforpermissionshouldbeaddressedtothePermissions Department, John Wiley sons, Inc, 111 River Street, Hoboken, NJ,(201)748-6011, fax(201)748- 6008,oronlineathttp:/www.wiley.com/go/permission Limit of Liability/Disclaimer of Warranty: While the publisher and author have used their best efforts in preparing this book, they make no representations or warranties with respect to the accuracy or completeness of e contents of this book and specifically disclaim any implied warranties of merchantability or fitness for a articular purpose. No warranty may be created or extended by sales representatives or written sales materials The advice and strategies contained herein may not be suitable for your situation. You should consult with a professional where appropriate. Neither the publisher nor author shall be liable for any loss of profit or any other commercial damages, including but not limited to special, incidental, consequential, or other damages For general information on our other products and services or for technical support, please contact our Customer Care Department within the United States at(800)762-2974, outside the United States at (317)572-3993 or fax (317)572-4002 Wiley also publishes its books in a variety of electronic formats. Some content that appears in print may not be available in electronic formats. For more information about wiley products, visit our web site at www.wlley.con Library of Congress Cataloging-in-Publication Data: Sayed, Ali h Adaptive filters/Ali H. Sayed p cm Includes bibliographical references and index ISBN9780470-25388-5( cloth) Adaptive filters. I. Title TK7872F5s2852008 62138l5324dc22 2008003731 Printed in the united states of america 10987654321 To my parents Contents Preface xvii Notation XXV Acknowledgments XXX BACKGROUND MATERIAL A Random variables A 1 Variance of a random variable A2 Dependent random Variables A3 Complex-Valued Random Variables A 4 Vector -Valued Random variables 3467 A.5 Gaussian Random Vectors B Linear Algebra 12 B. Hermitian and Positive- Definite matrices B 2 Range spaces and nullspace of matrices 14 B3 Schur Complements 16 B 4 Cholesky factorization B 5 QR Decomposition B6 Singular Value Decomposition 20 B 7 Kronecker products C Complex Gradients 25 C 1 Cauchy-Riemann Conditions 5 C2 Scalar arguments 26 C3 Vector arguments 26 PART:。 PTIMAL ESTIMATION Scalar- Valued Data 29 1. 1 Estimation Without observations 1.2 Estimation Given Dependent observations 1.3 Orthogonality Principl 36 CONTENTS 1,4 Gaussian random variables 38 2 Vector- Valued Data 42 2. 1 Optimal Estimator in the vector Case 42 2.2 Spherically Invariant Gaussian Variables 46 2. 3 Equivalent Optimization Criterion 49 Summary and Notes 51 Problems and Computer Projects 54 PART I: LINEAR ESTIMATION 3 Normal Equatlons 60 3. 1 Mean-Square Error Criterion 61 3.2 Minimization by Differentiation 3.3 Minimization by Completion-of-Squares 63 3.4 Minimization of the error Covariance matrix 65 3.5 Optimal Linear estimator 4 Orthogonality princlple 4. 1 Design Examples 4.2 Orthogonality Condition 4.3 Existence of solutions 74 4, 4 Nonzero-Mean variables 5 Linear Models 5.1 Estimation using Linear Relations 5.2 Application: Channel Estimation 5 Application: Block Data Estimation 81 5. 4 Application: Linear Channel equalization 82 5.5 Application: Multiple-Antenna Receivers 85 Constralned estimation 87 6.1 Minimum-Variance Unbiased estimation 6.2 Example: Mean Estimation 6.3 Application: Channel and Noise Estimation 91 6.4 Application: Decision Feedback Equalization 6.5 Application: Antenna Beamforming 101 7 Kalman Filter 104 7.1 Innovations process 7.2 State-Space Model 106 【实例截图】
【核心代码】
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