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Digital Signal Processing: A Computer Science Perspective
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Jonathan Stein, RAD Data Communications, Tel Aviv, Israel
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0471 29546 9November
2000Hardback880pp
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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
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.
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