Digital Signal Processing Using MATLAB (Bookware Companion)
by John G. Proakis, Vinay K. Ingle
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Book Summary Information
Author: John G. Proakis, Vinay K. IngleEdition: Paperback
Audio: English (Original Language); English (Unknown); English (Published)
Published: 2006-08-10
ISBN: 0495073113
Number of pages: 640
Publisher: CL-Engineering
Book Reviews of Digital Signal Processing Using MATLAB (Bookware Companion)
Book Review: Perfect but aging companion to Discrete Time Signal Processing
Summary: 5 Stars
This book does exactly what it purports to do - it teaches the reader how to perform signal processing tasks using Matlab. It starts out with signals and systems and moves on to the DTFT, the Z Transform, the DFT, digital filter structures including both IIR and FIR design, and finally covers some advanced topics in adaptive signal processing and communications. It even contains full-blown projects using Matlab on adaptive channel equalization, binary spread spectrum communications, and system identification. The reader should use another text such as Oppenheim's "Discrete Time Signal Processing" to get the theory, and come to this book on how to implement that theory in Matlab. The one drawback is that the book is older, so it is using Matlab 5. Also, another reviewer mentioned that much of the book is inaccessible to users who do not have the rather expensive signal processing toolkit at their disposal. Fortunately, thanks to the open source movement, this last problem has been solved. Octave, now on SourceForge, an open source code repository, has many of the matlab functions available for free that you need to do signal processing.
In conclusion, I highly recommend this book to signal processing students and professionals who wish to incorporate Matlab into their work.
Summary of Digital Signal Processing Using MATLAB (Bookware Companion)
This supplement to any standard DSP text is one of the first books to successfully integrate the use of MATLAB? in the study of DSP concepts. In this book, MATLAB? is used as a computing tool to explore traditional DSP topics, and solve problems to gain insight. This greatly expands the range and complexity of problems that students can effectively study in the course. Since DSP applications are primarily algorithms implemented on a DSP processor or software, a fair amount of programming is required. Using interactive software such as MATLAB? makes it possible to place more emphasis on learning new and difficult concepts than on programming algorithms. Interesting practical examples are discussed and useful problems are explored. This updated second edition includes new homework problems and revises the scripts in the book, available functions, and m-files to MATLAB? V7.Communication & Signal Processing Books
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