Digital Signal Processing: A Computer Science Perspective / Edition 1

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Get a working knowledge of digital signal processing for computer science applications

The field of digital signal processing (DSP) is rapidly exploding, yet most books on the subject do not reflect the real world of algorithm development, coding for applications, and software engineering. This important new work fills the gap in the field, providing computer professionals with a comprehensive introduction to those aspects of DSP essential for working on today's cutting-edge applications in speech compression and recognition and modem design. The author walks readers through a variety of advanced topics, clearly demonstrating how even such areas as spectral analysis, adaptive and nonlinear filtering, or communications and speech signal processing can be made readily accessible through clear presentations and a practical hands-on approach. In a light, reader-friendly style, Digital Signal Processing: A Computer Science Perspective provides:
* A unified treatment of the theory and practice of DSP at a level sufficient for exploring the contemporary professional literature
* Thorough coverage of the fundamental algorithms and structures needed for designing and coding DSP applications in a high level language
* Detailed explanations of the principles of digital signal processors that will allow readers to investigate assembly languages of specific processors
* A review of special algorithms used in several important areas of DSP, including speech compression/recognition and digital communications
* More than 200 illustrations as well as an appendix containing the essential mathematical background

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Editorial Reviews

From the Publisher
" offers a contemporary and comprehensive treatment of DSP." (Choice, Vol. 38, No. 8, April 2001)
Choice offers a contemporary and comprehensive treatment of DSP.
Choice offers a contemporary and comprehensive treatment of DSP.
While Stein was working for a high-tech company in Tel Aviv, he had no trouble finding experts in digital signal processing, but when he relocated to New York, he could find none. He discovered that it was not taught at all in the US at the undergraduate level, and at the graduate level only for electrical engineers. He developed and taught (Polytechnic U.) an undergraduate course for computer science majors, based on exactly the requirements he needed for his company. From that course emerged this textbook. He explains the theory and practice, the fundamental algorithms and structures used in computation, the principles of digital signal processors and how they differ from conventional ones, and some special areas of current research and develop such as speech compression and recognition and digital communications. Annotation c. Book News, Inc., Portland, OR (
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Product Details

Meet the Author

JONATHAN (Y) STEIN, PhD, is Chief Scientist with RAD Data Communications, Tel Aviv, Israel.

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Table of Contents



The Spectrum of Periodic Signals.

The Frequency Domain.








Biological Signal Processing.


Graphical Techniques.

Spectral Analysis.

The Fast Fourier Transform.

Digital Filter Implementation.

Function Evaluation Algorithms.

Digital Signal Processors.


Communications Signal Processing.

Speech Signal Processing.




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Customer Reviews

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  • Anonymous

    Posted July 26, 2001

    Good background book for DSP programmers

    I do a lot of programming for music applications, both in C++ and in DSP assembler. I never really got into the theory behind the algorithms before, I was always too involved in the real-time aspects. I have picked up a few DSP textbooks over the years, but I only use them for reference when needed, they are much too dull to actually read. I purchased this book on-line, although I was originally put-off by the high price. But it was worth it. I skimmed the early chapters, but have actually read 5 whole chapters, and did some programming to solve exercises, just for the heck of it. I intend to read through a few more chapters as well. The chapter on DSP processors is quite good (I never saw a chapter on DSPs in a text before) but too short. The chapter on FFT starts off great, gets a bit too technical at certain parts, but then more than makes up for it by the special algorithms. The chapter on computing special functions is great. My biggest complaint is that although there are two very long chapters on applications (modems and speech compression) there is nothing at all on musical effect programming.

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