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Digital Signal Processing: A Computer Science Perspective, by Jonathan (Y) Stein
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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
- Sales Rank: #1191262 in Books
- Published on: 2000-10-09
- Original language: English
- Number of items: 1
- Dimensions: 9.47" h x 1.83" w x 6.40" l, 3.00 pounds
- Binding: Hardcover
- 856 pages
Review
"This...book offers a contemporary and comprehensive treatment of DSP." (Choice, Vol. 38, No. 8, April 2001)
From the Back Cover
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
About the Author
JONATHAN (Y) STEIN, PhD, is Chief Scientist with RAD Data Communications, Tel Aviv, Israel.
Most helpful customer reviews
2 of 3 people found the following review helpful.
Great explanation of DSP for the computer scientist
By calvinnme
This book does what no other book I know does - lays out the theory of DSP in plain language for the computer scientist. This book will probably seem a little on the light side for electrical engineering students and professionals, but even they will benefit from the author's plain-language descriptions and instructive figures. The author has an easy test to see if you have sufficient mathematical background to understand this book - he says you should look at the appendix, which is entitled "Whirlwind Exposition of Mathematics", and if at least half of the subject matter is familiar, then you are mathematically qualified.
The material is presented in a very unconventional fashion. Although the title of part one, "Signals", indicates a traditionally organized DSP textbook, this section contains a chapter on Noise that doesn't seem to fit in with the other four chapters.
Part two is entitled "Systems", and covers ground you wouldn't generally expect in a general DSP text. It goes all the way from answering the simple question "Why Convolve?" to filter design techniques to correlation and biological signal processing. You won't be ready to design biomedical devices after you read this chapter, but it outlines some underlying principles of speech processing and neural networks in very accessible language and prepares the student for further study.
Part 3, "Architectures and Algorithms", is where this textbook really shines. In this section the author equates many DSP problems to graph theory and manipulation, deals with spectral analysis and correlates matrix algebra techniques to finding sinusoids in noise, and presents filter implementation in computer program format via pseudocode. The author also talks about how to produce mathematical functions that the DSP processing language you are using may not implement, and about the basic structure of a DSP embedded system.
The final section of the book, "Applications", takes a whirlwind tour of many of the aspects of communications signal processing and speech processing where DSP is essential. This is not meant to be a definitive text on these two broad complex topics. Rather, it is meant to bring to life the concepts and algorithms discussed up to this point.
If you are an electrical engineer, I would say a better choice would be "Discrete Time Signal Processing", since there is a more mathematical presentation of concepts that is more comfortable to individuals in that discipline. However, if you are a computer scientist, I would start with this book and then go on to more formal texts once you get the big picture presented here. The one negative thing I would say about this book is that I think it tends to oversimplify the mathematical complexity of DSP's sister discipline of random processes and noise. However, for the core subject of DSP from the computer scientist's perspective, I recommend it.
16 of 17 people found the following review helpful.
An outstanding accomplishment in DSP
By Amazon Customer
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.
0 of 1 people found the following review helpful.
NEW INSIGHT
By SUSIKO
Within 850+pagesMR.Stein has touch all the major aspects of DSP theory &applications, includeing statistical concepts too.Though I am not a computer personal (but electronic) presentation & explanations have been stimulated me to have a different synthesis of concepts & ideas of DSP.This naturally led me to a good understanding with a good insight.Rich historical details & end of the chapter biblographical notes are very useful features for a mature reader.Although my vivews may not be relevant to a absolute biginer this type of book is a invaluable at certain stage of one's education.Typhos are a little problem.
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