Discrete Random Signal Processing and Filtering Primer with MATLAB by Alexander

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Discrete Random Signal Processing and Filtering Primer with MATLAB by Alexander D. Poularikas

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 TheoryThe 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.

FORMAT
Paperback LANGUAGE
English CONDITION
Brand New Table of Contents

Fourier analysis of signals. Random variables, sequences, and stochastic processes. Nonparametric (classical) spectrums estimation. Parametric and other methods for spectra estimation. Optimal filtering—Wiener filters. Adaptive filtering—LMS algorithm. Adaptive filtering with variations of LMS algorithm. Nonlinear filtering. Appendices.

Details ISBN0367386313 Author Alexander D. Poularikas Publisher Taylor & Francis Ltd Year 2019 ISBN-10 0367386313 ISBN-13 9780367386313 Format Paperback Imprint CRC Press Place of Publication London Country of Publication United Kingdom DEWEY 621.3822 Publication Date 2019-10-23 Pages 300 Language English UK Release Date 2019-10-23 AU Release Date 2019-10-23 NZ Release Date 2019-10-23 Alternative 9781420089332 Audience Professional & Vocational Country of Origin GB Product Class Description Engineering & Technology: Textbooks & Study Guides
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