Digital Signal Processing: A Computer Science Perspective / Edition 1

Digital Signal Processing: A Computer Science Perspective / Edition 1

5.0 1
by Jonathan (Y) Stein
     
 

ISBN-10: 0471295469

ISBN-13: 9780471295464

Pub. Date: 01/28/2000

Publisher: Wiley

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

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Overview

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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Product Details

ISBN-13:
9780471295464
Publisher:
Wiley
Publication date:
01/28/2000
Series:
Wiley Series in Telecommunications and Signal Processing Series, #44
Pages:
880
Product dimensions:
6.40(w) x 9.47(h) x 1.83(d)

Table of Contents

SIGNAL ANALYSIS.

Signals.

The Spectrum of Periodic Signals.

The Frequency Domain.

Noise.

SIGNAL PROCESSING SYSTEMS.

Systems.

Filters.

Nonfilters.

Correlation.

Adaptation.

Biological Signal Processing.

ARCHITECTURES AND ALGORITHMS.

Graphical Techniques.

Spectral Analysis.

The Fast Fourier Transform.

Digital Filter Implementation.

Function Evaluation Algorithms.

Digital Signal Processors.

APPLICATIONS.

Communications Signal Processing.

Speech Signal Processing.

Appendix.

Bibliography.

Index.

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Digital Signal Processing: A Computer Science Perspective 5 out of 5 based on 0 ratings. 1 reviews.
Guest More than 1 year ago
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.