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

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 resourc...

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Bibliographic Details
Online Access: Full text (MCPHS users only)
Main Authors: Manolakis, Dimitris G. (Author), Ingle, Vinay K. (Author), Kogon, Stephen M. (Author)
Format: Electronic eBook
Language:English
Published: Boston : Artech House, 2005
Series:Artech House signal processing library.
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Local Note:ProQuest Ebook Central
Table of Contents:
  • 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
  • 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