Mathematical Summary for Digital Signal Processing Applications with Matlab
Mathematical summary for Digital Signal Processing Applications with Matlab consists of Mathematics which is not usually dealt in the DSP core subject, but used in DSP applications. Matlab programs with illustrations are given for the selective topics such as generation of Multivariate Gaussian distributed sample outcomes, Bacterial foraging algorithm, Newton’s iteration, Steepest descent algorithm, etc. are given exclusively in the separate chapter. Also Mathematical summary for Digital Signal Processing Applications with Matlab is written in such a way that it is suitable for Non-Mathematical readers and is very much suitable for the beginners who are doing research in Digital Signal Processing.

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Mathematical Summary for Digital Signal Processing Applications with Matlab
Mathematical summary for Digital Signal Processing Applications with Matlab consists of Mathematics which is not usually dealt in the DSP core subject, but used in DSP applications. Matlab programs with illustrations are given for the selective topics such as generation of Multivariate Gaussian distributed sample outcomes, Bacterial foraging algorithm, Newton’s iteration, Steepest descent algorithm, etc. are given exclusively in the separate chapter. Also Mathematical summary for Digital Signal Processing Applications with Matlab is written in such a way that it is suitable for Non-Mathematical readers and is very much suitable for the beginners who are doing research in Digital Signal Processing.

169.99 In Stock
Mathematical Summary for Digital Signal Processing Applications with Matlab

Mathematical Summary for Digital Signal Processing Applications with Matlab

by E. S. Gopi
Mathematical Summary for Digital Signal Processing Applications with Matlab

Mathematical Summary for Digital Signal Processing Applications with Matlab

by E. S. Gopi

Paperback(2010)

$169.99 
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Overview

Mathematical summary for Digital Signal Processing Applications with Matlab consists of Mathematics which is not usually dealt in the DSP core subject, but used in DSP applications. Matlab programs with illustrations are given for the selective topics such as generation of Multivariate Gaussian distributed sample outcomes, Bacterial foraging algorithm, Newton’s iteration, Steepest descent algorithm, etc. are given exclusively in the separate chapter. Also Mathematical summary for Digital Signal Processing Applications with Matlab is written in such a way that it is suitable for Non-Mathematical readers and is very much suitable for the beginners who are doing research in Digital Signal Processing.


Product Details

ISBN-13: 9789400790858
Publisher: Springer Netherlands
Publication date: 10/17/2014
Edition description: 2010
Pages: 219
Product dimensions: 6.10(w) x 9.25(h) x 0.02(d)

Table of Contents

Matrices.- Probability.- Random Process.- Linear Algebra.- Optimization.- Matlab Illustrations.
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