
Statistical and Adaptive Signal Processing: Spectral Estimation, Signal Modeling, Adaptive Filtering and Array Processing
McGraw-Hill Professional (Publisher)
Published on 16. January 2000
Book
Hardback
608 pages
978-0-07-040051-1 (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
978-0-07-040051-1 (9780070400511)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Content
1 Introduction2 Fundamentals of Discrete-Time Signal Processing3 Random Variables, Vectors, and Sequences4 Linear Signal Models5 Nonparametric Power Spectrum Estimation6 Optimum Linear Filters7 Algorithms and Structure for Optimum Linear Filters8 Least-Squares Filtering and Prediction9 Signal Modeling and Parametric Spectral Estimation10 Adaptive Filters11 Array Processing12 Further TopicsAppendixesA Matrix Inversion LemmaB Gradients and Optimization in Complex Space C MATLAB FunctionsD Useful Results from Matrix AlgebraE Minimum Phase Test for Polynomials