DIGITAL SIGNAL PROCESSING: A COMPUTER SCIENCE PERSPECTIVE

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

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

"This...book offers a contemporary and comprehensive treatment of DSP." (Choice, Vol. 38, No. 8, April 2001)

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.