Digital Signal Processing: A Computer Science Perspective 1st Edition by Jonathan (PDF)

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

User’s Reviews

Editorial Reviews: Review “This…book offers a contemporary and comprehensive treatment of DSP.” (Choice, Vol. 38, No. 8, April 2001) From the Inside Flap 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 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. Read more

Reviews from Amazon users which were colected at the time this book was published on the website:

⭐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.

⭐This is a true work of art. The do science correctly you need to step back and look at it as more than equations and math. Johnathon Stein hs accomplished this in his book. Even the structure of the book is unique. Each concept is covered in bite size pieces with emphasis on intuitive understanding without flinching on the math, which is like a walk as if through a field of flowers. At the end of each little chapter are questions of such depth and beauty that I am as an author of engineering articles left tin awe of this author. Most professors I am sure do understand their topics well but to convey the knowledge to others is a special talent only a few possess.The book seems to be targeted to Computer Science, however, it is far more relevent to the EEs. It will provide you with needed intuitive and comprehensively deep understanding of this field. No topic is left unturned, from description of signals to spectrum of deterministic and random signals, both stationery and non. In most cases, you can open the book and read from anywhere and if you are familiar with the topic you will find your self admiring the explanations. I jut opened it randomly to page 435 under topic titled “Speech” and here is passage I find, ” It is a curious fact that although we can input and process much more visual information than acoustic, the main mode of communications between humans is speech. Wouldn’t it have been more efficient for us to communicate via some elaborate sign language or perhaps by creating rapidly changing color patterns on our skin? Apparently the main reason for our preferring acoustic wave sis their long wavelengths and thus their diffraction around obstacles. We can broadcast our speech to many people in different people in different place? we can hear some one talking without looking at the mouth and indeed without even being in the same room. These advantage are so great that we are willing to give up bandwidth for them.”Being an engineer, I have this 800 page book on my night table. I pick up it read a chapter or two and continue to marvel at the beauty and simplicity with which the author has been able to put his thoughts on paper.In my assessment, the book deserves 6 stars.

⭐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.

⭐Lot of typing mistake, don’t buy this book in online.

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