Statistical Digital Signal Processing and Modeling / Edition 1

Statistical Digital Signal Processing and Modeling / Edition 1

by Monson H. Hayes, Mason H. Hayes, M. H. Hayes
     
 

The main thrust is to provide students with a solid understanding of a number of important and related advanced topics in digital signal processing such as Wiener filters, power spectrum estimation, signal modeling and adaptive filtering. Scores of worked examples illustrate fine points, compare techniques and algorithms and facilitate comprehension of fundamental

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Overview

The main thrust is to provide students with a solid understanding of a number of important and related advanced topics in digital signal processing such as Wiener filters, power spectrum estimation, signal modeling and adaptive filtering. Scores of worked examples illustrate fine points, compare techniques and algorithms and facilitate comprehension of fundamental concepts. Also features an abundance of interesting and challenging problems at the end of every chapter.

Product Details

ISBN-13:
9780471594314
Publisher:
Wiley
Publication date:
04/11/1996
Edition description:
New Edition
Pages:
624
Product dimensions:
7.00(w) x 10.00(h) x 1.31(d)

Table of Contents

Background.

Discrete-Time Random Processes.

Signal Modeling.

The Levinson Recursion.

Lattice Filters.

Wiener Filtering.

Spectrum Estimation.

Adaptive Filtering.

Appendix.

Table of Symbols.

Index.

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