Applied Digital Signal Processing Theory And Practice Solution Manual
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Digital Signal Processing: Theory And Practice
Author: Duraisamy Sundararajan
language: en
Publisher: World Scientific Publishing Company
Release Date: 2003-01-03
This concise and clear text is intended for a senior undergraduate and graduate level, one-semester course on digital signal processing. Emphasis on the use of the discrete Fourier transform (the heart of practical digital signal processing) and comprehensive coverage of the design of commonly used digital filters are the key features of the book. The large number of visual aids such as figures, flow graphs, and tables makes the mathematical topic easy to learn. The numerous examples and the set of Matlab programs (a supplement to the book) for the design of optimal equiripple FIR digital filters help greatly in understanding the theory and algorithms.∗ Solution Manual to the questions (as a separate volume) is available to instructors or lecturers.Errata(s)Prefaces, Page vii“ftp://ftp.wspc.com/pub/software/5147”The above links should be replaced with“www.worldscientific.com/doi/suppl/10.1142/5147/suppl_file/5147_software_free.zip”
Applied Digital Signal Processing
Author: Dimitris G. Manolakis
language: en
Publisher: Cambridge University Press
Release Date: 2011-11-21
Master the basic concepts and methodologies of digital signal processing with this systematic introduction, without the need for an extensive mathematical background. The authors lead the reader through the fundamental mathematical principles underlying the operation of key signal processing techniques, providing simple arguments and cases rather than detailed general proofs. Coverage of practical implementation, discussion of the limitations of particular methods and plentiful MATLAB illustrations allow readers to better connect theory and practice. A focus on algorithms that are of theoretical importance or useful in real-world applications ensures that students cover material relevant to engineering practice, and equips students and practitioners alike with the basic principles necessary to apply DSP techniques to a variety of applications. Chapters include worked examples, problems and computer experiments, helping students to absorb the material they have just read. Lecture slides for all figures and solutions to the numerous problems are available to instructors.