Digital Signal Processing: A Computer Science Perspective

Description

   


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

Reviewer Rating: 5
This book really lives up to its name. The author, Jonathan Stein, has taken a tremendous amount of DSP subject matter and hand-tailored it for a perfect fit for readers with a computer-science background. While the relevant math is still there, the book excels at providing easily accessible and readable explanations and descriptions of the various topics. As you read the various chapters, it becomes very apparent that the author has truly understood, assimilated, and has put into practice virtually all of the information from his listed references and his real-world experience. Stein is simultaneously a practicing expert in the field, an academic master of each subject, and a patient, thoughtful and humorous teacher who knows well the unique needs of his readers.
Computer scientists will appreciate the six chapters (12-17) devoted to Architectures and Algorithms. This emphasis is what sets this book apart from the many other DSP books out on the market. I especially enjoyed Chapter 17, Digital Signal Processors. After reading Sections 1-3, I finally understood the significance of the MAC (Multiply-and-Accumulate) operation, and exactly how a DSP processor allows it to be executed in one clock cycle. Section 7 guides the new DSP programmer with Stein's well-conceived CHILD's play system of DSP task development. And on the humorous side, in Section 8 describing DSP Development Teams, we are told, "Your boss has given you five days to come up to speed (in understanding the new system). In your cubicle you find a stack of heavy documents. The first thing you have to learn is what a TLA is." You will find yourself breaking out with stifled bursts of nervous laughter as this all-too-true scenario unfolds.

Definitely give this book a try and you'll come to understand and appreciate DSP in a new light from Stein's unique perspective. It will make a welcome and refreshing addition to your DSP library.

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