An Introduction to Statistical Signal Processing
by Robert M. Gray , Lee D. DavissonEdition: 1st
Format: Paperback
Pub. Date: 2010-02-18
Publisher(s): Cambridge University Press
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Summary
This volume describes the essential tools and techniques of statistical signal processing. At every stage, theoretical ideas are linked to specific applications in communications and signal processing. The book begins with an overview of basic probability, random objects, expectation, and second-order moment theory, followed by a wide variety of examples of the most popular random process models and their basic uses and properties. Specific applications to the analysis of random signals and systems for communicating, estimating, detecting, modulating, and other processing of signals are interspersed throughout the text.
Table of Contents
| Preface | |
| Introduction | |
| Probability | |
| Random objects | |
| Expectation and averages | |
| Second-order theory | |
| A menagerie of processes | |
| Appendices | |
| Table of Contents provided by Publisher. All Rights Reserved. |
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