An Introduction to Statistical Signal Processing / Edition 1

An Introduction to Statistical Signal Processing / Edition 1

ISBN-10:
0521838606
ISBN-13:
9780521838603
Pub. Date:
12/02/2004
Publisher:
Cambridge University Press
ISBN-10:
0521838606
ISBN-13:
9780521838603
Pub. Date:
12/02/2004
Publisher:
Cambridge University Press
An Introduction to Statistical Signal Processing / Edition 1

An Introduction to Statistical Signal Processing / Edition 1

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Overview

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.

Product Details

ISBN-13: 9780521838603
Publisher: Cambridge University Press
Publication date: 12/02/2004
Edition description: New Edition
Pages: 478
Product dimensions: 7.09(w) x 10.08(h) x 1.18(d)

Table of Contents

Preface; 1. Introduction; 2. Probability; 3. Random objects; 4. Expectation and averages; 5. Second-order theory; 6. A menagerie of processes; Appendices.

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From the Publisher

"One of the book's strengths is its thematic focus, guiding the reader on a straight road to mean squared calculus. The authors are careful in not assuming prior knowledge of probability theory or even measure theory, and the text connects readily to undergraduate courses on elementary probability and linear systems. The writing itself is carved in a sequential and elaborate style following the credo of linear development of material. Emphasizing intuitive arguments, the text provides helpful discussions of notions and basic concepts. A wealth of problem questions are proposed." - Journal of the American Statistical Association.

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