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This supplement to any standard DSP text is one of the first books to successfully integrate the use of MATLAB in the study of DSP concepts. In this book, MATLAB is used as a computing tool to explore traditional DSP topics, and solve problems to gain insight. This greatly expands the range and complexity of problems that students can effectively study in the course. Since DSP applications are primarily algorithms implemented on a DSP processor or software, a fair amount of programming is required. Using interactive software such as MATLAB makes it possible to place more emphasis on learning new and difficult concepts than on programming algorithms. Interesting practical examples are discussed and useful problems are explored. This updated second edition includes new homework problems and revises the scripts in the book, available functions, and m-files to MATLAB V7.
- Sales Rank: #1992083 in Books
- Published on: 2006-08-10
- Original language: English
- Number of items: 1
- Dimensions: .89" h x 7.36" w x 9.26" l, .94 pounds
- Binding: Paperback
- 605 pages
About the Author
Dr. Vinay K. Ingle is an Associate Professor of Electrical and Computer Engineering at Northeastern University. He received his Ph.D. in electrical and computer engineering from Rensselaer Polytechnic Institute in 1981. He has broad research experience and has taught courses on topics including signal and image processing, stochastic processes, and estimation theory. Dr. Ingle has co-authored numerous higher level books including DSP LABORATORY USING THE ADSP-2181 MICROPROCESSOR (Prentice Hall, 1991), DISCRETE SYSTEMS LABORATORY (Brooks-Cole, 2000), STATISTICAL AND ADAPTIVE SIGNAL PROCESSING (Artech House, 2005), and APPLIED DIGITAL SIGNAL PROCESSING (Cambridge University Press, 2011).
Affiliation: University of California, San Diego and Northeastern University Bio: Dr. John Proakis is an Adjunct Professor at the University of California at San Diego and a Professor Emeritus at Northeastern University. He was a faculty member at Northeastern University from 1969 through 1998 and held several academic positions including Professor of Electrical Engineering, Associate Dean of the College of Engineering and Director of the Graduate School of Engineering, and Chairman of the Department of Electrical and Computer Engineering. His professional experience and interests focus in areas of digital communications and digital signal processing. He is co-author of several successful books, including DIGITAL COMMUNICATIONS, 5E (2008), INTRODUCTION TO DIGITAL SIGNAL PROCESSING, 4E (2007); DIGITAL SIGNAL PROCESSING LABORATORY (1991); ADVANCED DIGITAL SIGNAL PROCESSING (1992); DIGITAL PROCESSING OF SPEECH SIGNALS (2000); COMMUNICATION SYSTEMS ENGINEERING, 2E (2002); DIGITAL SIGNAL PROCESSING USING MATLAB V.4, 3E (2010); CONTEMPORARY COMMUNICATION SYSTEMS USING MATLAB, 2E (2004); ALGORITHMS FOR STATISTICAL SIGNAL PROCESSING (2002); FUNDAMENTALS OF COMMUNICATION SYSTEMS (2005).
Most helpful customer reviews
19 of 19 people found the following review helpful.
Perfect but aging companion to Discrete Time Signal Processing
By calvinnme
This book does exactly what it purports to do - it teaches the reader how to perform signal processing tasks using Matlab. It starts out with signals and systems and moves on to the DTFT, the Z Transform, the DFT, digital filter structures including both IIR and FIR design, and finally covers some advanced topics in adaptive signal processing and communications. It even contains full-blown projects using Matlab on adaptive channel equalization, binary spread spectrum communications, and system identification. The reader should use another text such as Oppenheim's "Discrete Time Signal Processing" to get the theory, and come to this book on how to implement that theory in Matlab. The one drawback is that the book is older, so it is using Matlab 5. Also, another reviewer mentioned that much of the book is inaccessible to users who do not have the rather expensive signal processing toolkit at their disposal. Fortunately, thanks to the open source movement, this last problem has been solved. Octave, now on SourceForge, an open source code repository, has many of the matlab functions available for free that you need to do signal processing.
In conclusion, I highly recommend this book to signal processing students and professionals who wish to incorporate Matlab into their work.
19 of 20 people found the following review helpful.
Not bad for MATLAB, but for DSP get Lyons' book.
By S.P.
Ingle and Proakis' book isn't a bad deal if you have to learn MATLAB and DSP at the same time. There are plenty of MATLAB examples, however, I was disappoined in all the discrepancies between the code listed in the book and the code downloaded from the publisher (Brooks/Cole). Also, as a DSP beginner, I wish I & P had included more diagrams. For newcomers to DSP, Richard Lyons' "Understanding Digital Signal Procssing" is still the best book available (in my opinion).
12 of 13 people found the following review helpful.
Frustrating
By Paul Andrews
I have an expensive version of Matlab with the DSP toolkit. I was excited to learn how to use it from this book. What a let down. The first functions that I found were unusable making the examples worthless. Then I noticed a web site where I could download these functions that were created by the author(sited in the text): the link no longer exists (surprise!) rendering this book worth less than the paper it was printed on! Besides the link to the non-existent site the author gives no more incite into how to enable Matlab to work with this text. Don't buy this book!
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