The Algorithms such as SVD, Eigen decomposition, Gaussian Mixture Model, HMM etc. are presently scattered in different fields. There remains a need to collect all such algorithms for quick reference. Also there is the need to view such algorithms in application point of view. This book attempts to s
Algorithm Collections for Digital Signal Processing Applications Using Matlab
โ Scribed by E.S. Gopi
- Publisher
- Springer
- Year
- 2009
- Tongue
- English
- Leaves
- 199
- Category
- Library
No coin nor oath required. For personal study only.
โฆ Synopsis
The Algorithms such as SVD, Eigen decomposition, Gaussian Mixture Model, PSO, Ant Colony 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.
This Book attempts to satisfy the above requirement. Also the algorithms are made clear using MATLAB programs. This book will be useful for the Beginners Research scholars and Students who are doing research work on practical applications of Digital Signal Processing using MATLAB.
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<h3>Kurzbeschreibung</h3><p>The Algorithms such as SVD, Eigen decomposition, Gaussian Mixture Model, HMM etc. are presently scattered in different fields. There remains a need to collect all such algorithms for quick reference. Also there is the need to view such algorithms in application point of v
<P>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. <EM>Algorithm Collections for Dig
<P>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. <EM>Algorithm Collections for Dig