9780137890095-0137890095-Computer-Based Exercises for Signal Processing Using MATLAB Ver.5

Computer-Based Exercises for Signal Processing Using MATLAB Ver.5

ISBN-13: 9780137890095
ISBN-10: 0137890095
Edition: 1
Author: Alan V Oppenheim, C. Sidney Burrus, James H McClellan, Thomas W. Parks, Schafer/ Schuessler
Publication date: 1997
Publisher: Pearson
Format: Paperback 408 pages
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Book details

ISBN-13: 9780137890095
ISBN-10: 0137890095
Edition: 1
Author: Alan V Oppenheim, C. Sidney Burrus, James H McClellan, Thomas W. Parks, Schafer/ Schuessler
Publication date: 1997
Publisher: Pearson
Format: Paperback 408 pages

Summary

Computer-Based Exercises for Signal Processing Using MATLAB Ver.5 (ISBN-13: 9780137890095 and ISBN-10: 0137890095), written by authors Alan V Oppenheim, C. Sidney Burrus, James H McClellan, Thomas W. Parks, Schafer/ Schuessler, was published by Pearson in 1997. With an overall rating of 4.0 stars, it's a notable title among other books. You can easily purchase or rent Computer-Based Exercises for Signal Processing Using MATLAB Ver.5 (Paperback) from BooksRun, along with many other new and used books and textbooks. And, if you're looking to sell your copy, our current buyback offer is $0.3.

Description

FEATURES: *Presents many computer-based problems that can be done in conjunction with a course in DSP theory. *Projects relate to practical systems and implementations so the reader can learn and understand how DSP is applied. *Includes projects and exercises, which make full use of the power of MATLAB v5 to explore conceptual, analytical, and computational issues in digital signal processing. *Many projects provide hints to introduce pitfalls, limitations and tricks for getting the most out of MATLAB v5. *Discusses both the power and limitations of MATLAB v5 functions and regularly explores the issue of using built-in functions versus developing code to solve problems. *Exercises consistently reinforce important problem solving behaviors, such as verifying results, experimenting with parameters as a means of building understanding and intuition, exploring the realism of formulations, comparing theoretical and numerical or measured results, and developing predictions and then comparing them to actual results.

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