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Discrete Random Signal Processing and Filtering Primer with MATLAB (Electrical Engineering & Applied Signal Processing Series)

Alexander D. Poularikas

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ISBN 10: 1420089331 / ISBN 13: 9781420089332
Published by CRC Press, 2008
New Condition: New Hardcover
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Bibliographic Details

Title: Discrete Random Signal Processing and ...

Publisher: CRC Press

Publication Date: 2008

Binding: Hardcover

Book Condition: New

Edition: 1.

About this title

Synopsis:

Engineers in all fields will appreciate a practical guide that combines several new effective MATLAB® problem-solving approaches and the very latest in discrete random signal processing and filtering.
Numerous Useful Examples, Problems, and Solutions – An Extensive and Powerful Review
Written for practicing engineers seeking to strengthen their practical grasp of random signal processing, Discrete Random Signal Processing and Filtering Primer with MATLAB provides the opportunity to doubly enhance their skills. The author, a leading expert in the field of electrical and computer engineering, offers a solid review of recent developments in discrete signal processing. The book also details the latest progress in the revolutionary MATLAB language.
A Practical Self-Tutorial That Transcends Theory
The author introduces an incremental discussion of signal processing and filtering, and presents several new methods that can be used for a more dynamic analysis of random digital signals with both linear and non-linear filtering. Ideal as a self-tutorial, this book includes numerous examples and functions, which can be used to select parameters, perform simulations, and analyze results. This concise guide encourages readers to use MATLAB functions – and those new ones introduced as Book MATLAB Functions – to substitute many different combinations of parameters, giving them a firm grasp of how much each parameter affects results.
Much more than a simple review of theory, this book emphasizes problem solving and result analysis, enabling readers to take a hands-on approach to advance their own understanding of MATLAB and the way it is used within signal processing and filtering.

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The University of Alabama, Huntsville, USA

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