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Algorithm Collections for Digital Signal Processing Applications Using Matlab

By: Gopi, E.S [author.].
Contributor(s): SpringerLink (Online service).
Material type: materialTypeLabelBookPublisher: Dordrecht : Springer Netherlands, 2007.Description: XVI, 190 p. online resource.Content type: text Media type: computer Carrier type: online resourceISBN: 9781402064104.Subject(s): Engineering | Computer science -- Mathematics | Electrical engineering | Engineering | Communications Engineering, Networks | Signal, Image and Speech Processing | Math Applications in Computer ScienceDDC classification: 621.382 Online resources: Click here to access online
Contents:
Artificial Intelligence -- Probability And Random Process -- Numerical Linear Algebra -- Selected Applications.
In: Springer eBooksSummary: The Algorithms such as SVD, Eigen decomposition, Gaussian Mixture Model, HMM etc. are scattered in different fields. There is the need to collect all such algorithms for quick reference. Also there is the need to view such algorithms in application point of view. Algorithm Collections for Digital Signal Processing Applications using MATLAB attempts to satisfy the above requirement. Also the algorithms are made clear using MATLAB programs.
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Artificial Intelligence -- Probability And Random Process -- Numerical Linear Algebra -- Selected Applications.

The Algorithms such as SVD, Eigen decomposition, Gaussian Mixture Model, HMM etc. are scattered in different fields. There is the need to collect all such algorithms for quick reference. Also there is the need to view such algorithms in application point of view. Algorithm Collections for Digital Signal Processing Applications using MATLAB attempts to satisfy the above requirement. Also the algorithms are made clear using MATLAB programs.

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