
Statistical and Adaptive Signal Processing: Spectral Estimation, Signal Modeling, Adaptive Filtering and Array Processing
McGraw-Hill Professional (Publisher)
Published on 16. May 2000
Book
Paperback/Softback
608 pages
978-0-07-116660-7 (ISBN)
Description
This book is intended for graduate students at the first year or advanced graduate level in the areas of statistical and adaptive signal processing, as well as practicing engineers. The goal of this book is to provide a unified, complete, and practical treatment of spectral estimation, signal modeling, adaptive filtering, and array processing. The text is written in an intuitive manner and includes many illustrative examples. In addition a sufficient number of computer based experiments are included that illustrate important concepts to the reader for ease of implementation. Throughout the book a sufficient emphasis has been placed on applications for the purposes of demonstrating the utility of various techniques.
More details
Language
English
Place of publication
United States
Publishing group
McGraw-Hill Education - Europe
Target group
College/higher education
Professional and scholarly
Illustrations
illustrations
Dimensions
Height: 249 mm
Width: 196 mm
Thickness: 22 mm
Weight
1610 gr
ISBN-13
978-0-07-116660-7 (9780071166607)
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Schweitzer Classification
Content
Chapter 1 Introduction Chapter 2 Fundamentals of Discrete-Time Signal Processing Chapter 3 Random Variables, Vectors, and Sequences Chapter 4 Linear Signal Models Chapter 5 Nonparametric Power Spectrum Estimation Chapter 6 Optimum Linear Filters Chapter 7 Algorithms and Structure for Optimum Linear Filters Chapter 8 Least-Squares Filtering and Prediction Chapter 9 Signal Modeling and Parametric Spectral Estimation Chapter 10 Adaptive Filters Chapter 11 Array Processing Chapter 12 Further Topics Appendix A Matrix Inversion Lemma Appendix B Gradients and Optimization in Complex Space Appendix C MATLAB Functions Appendix D Useful Results from Matrix Algebra Appendix E Minimum Phase Test for Polynomials