Mathematical Summary for Digital Signal Processing Applications with Matlab consists of Mathematics which is not usually dealt with in the DSP core subject, but used in DSP applications. It gives Matlab programs with illustrations.

Is written in such a way that it is suitable for non-mathematical readers Is very much suitable for the beginners who are doing research in Digital Signal Processing. Can also be used as the text for P.G Course on "Mathematical summary for Digital Signal Processing Applications with Matlab" Consists of mathematics which is not usually dealt in the DSP core subject Includes supplementary material: sn.pub/extras

Autorentext

E.S. Gopi has authored four books, of which three have been published by Springer. He has also contributed 3 book chapters to books published by Springer. He has several papers in international journals and conferences to his credit. He has 15 years of teaching and research experience. He is currently Assistant Professor, Department of Electronics and Communication Engineering, National Institute of Technology, Trichy, India. He has 69 citations with h-index 4 (based on Google Scholar). His books are widely used all over the world. His research interests include pattern recognition, digital signal processing and biologically inspired algorithms. The India International Friendship Society (IIFS) has awarded him the "Shiksha Rattan Puraskar Award" for his meritorious services in the field of education. The award was presented by Dr. Bhishma Narain Singh, former Governor, Assam and Tamil Nadu, India. He is also awarded with the "Glory of India Gold Medal" by International Institute ofSuccess Awareness. This award was presented by Shri Syed Sibtey Razi, former Governor of Jharkhand, India. He was also awarded with "Best Citizens of India 2013" by The International Publishing House.

Klappentext

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.

Inhalt
Matrices.- Probability.- Random Process.- Linear Algebra.- Optimization.- Matlab Illustrations.