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Bibliographic Details

Title: Computer-Based Exercises for Signal Processing Using MATLAB 5
Publisher: Pearson Education, Limited
Publication Date: 1997
Language: English
ISBN 10: 0137890095
ISBN 13: 9780137890095
Binding: Soft cover
Condition: Good
Weight: 0.22 pounds

About this title

Synopsis

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.

From the Back Cover

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.

"About this title" may belong to another edition of this title.

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