Mathematical Summary for Digital Signal Processing Applications with Matlab [electronic resource] / by E. S. Gopi.

By: Gopi, E. S [author.]Contributor(s): SpringerLink (Online service)Material type: TextTextLanguage: English Publisher: Dordrecht : Springer Netherlands : Imprint: Springer, 2010Description: XIV, 250p. online resourceContent type: text Media type: computer Carrier type: online resourceISBN: 9789048137473Subject(s): Engineering | Computer software | Matrix theory | Engineering | Signal, Image and Speech Processing | Linear and Multilinear Algebras, Matrix Theory | Algorithm Analysis and Problem ComplexityAdditional physical formats: Printed edition:: No titleDDC classification: 621.382 LOC classification: TK5102.9TA1637-1638TK7882.S65Online resources: Click here to access online
Contents:
Matrices -- Probability -- Random Process -- Linear Algebra -- Optimization -- Matlab Illustrations.
In: Springer eBooksSummary: 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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Matrices -- Probability -- Random Process -- Linear Algebra -- Optimization -- Matlab Illustrations.

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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