
Mathematical Summary for Digital Signal Processing Applications with Matlab
E. S. Gopi(Author)
Springer (Publisher)
Published on 11. May 2010
Book
Hardback
XIV, 219 pages
978-90-481-3746-6 (ISBN)
Description
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.
Reviews / Votes
From the reviews:
"Summarizes the mathematical background required for the study of digital signal processing. . The material is presented in a concise outline format, with relatively brief explanations illustrated by simple numerical examples. . This volume may be useful to advanced students in electrical engineering and other areas of science and engineering who need to review these mathematical subjects before studying digital signal processing. Summing Up: Recommended. Upper-division undergraduates and graduate students." (B. Borchers, Choice, Vol. 48 (5), January, 2011)More details
Edition
2010 ed.
Language
English
Place of publication
Dordrecht
Netherlands
Target group
Professional and scholarly
Research
Product notice
sewn/stitched
Cloth over boards
Illustrations
XIV, 219 p.
Dimensions
Height: 241 mm
Width: 163 mm
Thickness: 23 mm
Weight
503 gr
ISBN-13
978-90-481-3746-6 (9789048137466)
DOI
10.1007/978-90-481-3747-3
Schweitzer Classification
Other editions
Additional editions

Book
10/2014
Springer
€160.49
Shipment within 15-20 days

E-Book
03/2010
1st Edition
Springer
€149.79
Available for download
Person
Content
Matrices.- Probability.- Random Process.- Linear Algebra.- Optimization.- Matlab Illustrations.