Mathematical Summary for Digital Signal Processing Applications with Matlab

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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.

Author(s): E. S. Gopi (auth.)
Edition: 1
Publisher: Springer Netherlands
Year: 2010

Language: English
Pages: 219
Tags: Signal, Image and Speech Processing; Linear and Multilinear Algebras, Matrix Theory; Algorithm Analysis and Problem Complexity

Front Matter....Pages i-xiv
Matrices....Pages 1-66
Probability....Pages 67-122
Random Process....Pages 123-152
Linear Algebra....Pages 153-179
Optimization....Pages 181-196
Matlab Illustrations....Pages 197-216
Back Matter....Pages 217-219