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Discrete Random Signal Processing and Filtering Primer with MATLAB
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Discrete Random Signal Processing and Filtering Primer with MATLAB

Book Details

Format Hardback or Cased Book
ISBN-10 1420089331
ISBN-13 9781420089332
Publisher Taylor & Francis Inc
Imprint CRC Press Inc
Country of Manufacture US
Country of Publication GB
Publication Date Nov 24th, 2008
Print length 300 Pages
Weight 650 grams
Dimensions 16.20 x 24.10 x 2.20 cms
Ksh 22,500.00
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Suitable for engineers in various fields, this work introduces a discussion of signal processing and filtering, and presents several methods that can be used for a dynamic analysis of random digital signals with both linear and non-linear filtering.

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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