Normal view MARC view ISBD view

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: materialTypeLabelBookPublisher: Dordrecht : Springer Netherlands : Imprint: Springer, 2010Description: XIV, 250p. online resource.Content type: text Media type: computer Carrier type: online resourceISBN: 9789048137473.Subject(s): Engineering | Computer software | Matrix theory | Engineering | Signal, Image and Speech Processing | Linear and Multilinear Algebras, Matrix Theory | Algorithm Analysis and Problem ComplexityDDC classification: 621.382 Online 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.
Tags from this library: No tags from this library for this title. Log in to add tags.
No physical items for this record

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.

There are no comments for this item.

Log in to your account to post a comment.

2017 | The Technical University of Kenya Library | +254(020) 2219929, 3341639, 3343672 | library@tukenya.ac.ke | Haile Selassie Avenue