Statistical and adaptive signal processing : spectral estimation, signal modeling, adaptive filtering, and array processing /

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Bibliographic Details
Author / Creator:Manolakis, Dimitris G., author.
Imprint:Boston : Artech House, ©2005.
Description:1 online resource (xviii, 796 pages) : illustrations
Language:English
Series:Artech House signal processing library
Artech House signal processing library.
Subject:
Format: E-Resource Book
URL for this record:http://pi.lib.uchicago.edu/1001/cat/bib/11137029
Hidden Bibliographic Details
Other authors / contributors:Ingle, Vinay K., author.
Kogon, Stephen M., author.
ISBN:1580533663
9781580533669
1580536107
9781580536103
Digital file characteristics:data file
Notes:"This is a reissue of a McGraw-Hill book"--Title page verso.
Includes bibliographical references (pages 769-785) and index.
Print version record.
Summary:This authoritative volume on statistical and adaptive signal processing offers you a unified, comprehensive and practical treatment of spectral estimation, signal modeling, adaptive filtering, and array processing. Packed with over 3,000 equations and more than 300 illustrations, this unique resource provides you with balanced coverage of implementation issues, applications, and theory, making it a smart choice for professional engineers and students alike.
Other form:Print version: Manolakis, Dimitris G. Statistical and adaptive signal processing. Boston : Artech House, ©2005 1580536107

MARC

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500 |a "This is a reissue of a McGraw-Hill book"--Title page verso. 
504 |a Includes bibliographical references (pages 769-785) and index. 
588 0 |a Print version record. 
520 3 |a This authoritative volume on statistical and adaptive signal processing offers you a unified, comprehensive and practical treatment of spectral estimation, signal modeling, adaptive filtering, and array processing. Packed with over 3,000 equations and more than 300 illustrations, this unique resource provides you with balanced coverage of implementation issues, applications, and theory, making it a smart choice for professional engineers and students alike.  |c Publisher abstract. 
505 0 |a Statistical and Adaptive Signal Processing; Contents x; Preface; CHAPTER 1 Introduction 1; CHAPTER 2 Fundamentals of Discrete-Time Signal Processing 33; CHAPTER 3 Random Variables, Vectors, and Sequences 75; CHAPTER 4 Linear Signal Models 149; CHAPTER 5 Nonparametric Power Spectrum Estimation 195; CHAPTER 6 Optimum Linear Filters 261; CHAPTER 7 Algorithms and Structures for Optimum Linear Filters 333; CHAPTER 8 Least-Squares Filtering and Prediction 395; CHAPTER 9 Signal Modeling and Parametric Spectral Estimation 445; CHAPTER 10 Adaptive Filters 499; CHAPTER 11 Array Processing 621 
505 8 |a CHAPTER 12 Further Topics 691APPENDIX A Matrix Inversion Lemma 745; APPENDIX B Gradients and Optimization in Complex Space 747; APPENDIX C Matlab Functions 753; APPENDIX D Useful Results from Matrix Algebra 755; APPENDIX E Minimum Phase Test for Polynomials 767; Bibliography 769; Index 787 
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