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.
| ISBN: | 9789400790858 |
| Publication date: | 17th October 2014 |
| Author: | E S Gopi |
| Publisher: | Springer an imprint of Springer Netherlands |
| Format: | Paperback |
| Pagination: | 219 pages |
| Genres: |
Electronics engineering Algorithms and data structures Digital signal processing (DSP) Algebra |
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.
Mathematical Summary for Digital Signal Processing Applications With Matlab features in the following genres: Electronics engineering, Algorithms and data structures, Digital signal processing (DSP), Algebra
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Mathematical Summary for Digital Signal Processing Applications With Matlab was written by E S Gopi and published by Springer an imprint of Springer Netherlands
Mathematical Summary for Digital Signal Processing Applications With Matlab has 219 pages