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Applied Digital Signal Processing: Theory and Practice, by Dimitris G. Manolakis, Vinay K. Ingle
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Master the basic concepts and methodologies of digital signal processing with this systematic introduction, without the need for an extensive mathematical background. The authors lead the reader through the fundamental mathematical principles underlying the operation of key signal processing techniques, providing simple arguments and cases rather than detailed general proofs. Coverage of practical implementation, discussion of the limitations of particular methods and plentiful MATLAB illustrations allow readers to better connect theory and practice. A focus on algorithms that are of theoretical importance or useful in real-world applications ensures that students cover material relevant to engineering practice, and equips students and practitioners alike with the basic principles necessary to apply DSP techniques to a variety of applications. Chapters include worked examples, problems and computer experiments, helping students to absorb the material they have just read. Lecture slides for all figures and solutions to the numerous problems are available to instructors.
- Sales Rank: #757320 in Books
- Published on: 2011-11-21
- Original language: English
- Number of items: 1
- Dimensions: 9.69" h x 1.61" w x 7.44" l, 3.88 pounds
- Binding: Hardcover
- 1008 pages
Review
'The primary advantage of this book is the integrated inclusion of MATLAB throughout ... in some textbooks the MATLAB components appear to have been added as an afterthought.' Richard M. Dansereau, Carleton University, Ontario
'... a good balance between the depth and clarity of discussion of important topics in DSP and the requirement of mathematical adequacy for the students. This textbook matches with the background of my students.' Yuanwei Jin, University of Hartford, Connecticut
'The innovative figures help students visualise complicated concepts.' Thad B. Welch, Boise State University
'A main strength of this book is its inclusion of MATLAB throughout. There are other books that do this, but I think that MATLAB is more integrated in this book than in the competing books. It provides an appropriate amount of information when it is needed, without overwhelming the reader with excessive detail.' Matthew Valenti, West Virginia University
About the Author
Dimitris G. Manolakis is currently a Member of Technical Staff at MIT Lincoln Laboratory in Lexington, Massachusetts. Prior to this he was a Principal Member of Research Staff at Riverside Research Institute. Since receiving his Ph.D. in Electrical Engineering from the University of Athens in 1981, he has taught at various institutions including Northeastern University, Boston College, and Worcester Polytechnic Institute and co-authored two textbooks on signal processing. His research experience and interests include the areas of digital signal processing, adaptive filtering, array processing, pattern recognition, remote sensing and radar systems.
Vinay K. Ingle is currently an Associate Professor in the Department of Electrical and Computer Engineering at Northeastern University, where he has worked since 1981 after receiving his Ph.D. in Electrical and Computer Engineering from Rensselaer Polytechnic Institute. He has taught both undergraduate and graduate courses in many diverse areas including systems, signal/image processing, communications and control theory, and has co-authored several textbooks on signal processing. He has broad research experience in the areas of signal and image processing, stochastic processes and estimation theory. Currently he is actively involved in hyperspectral imaging and signal processing.
Most helpful customer reviews
6 of 6 people found the following review helpful.
OK Book, Poor Binding Quality
By Matthew S Zimmermann
I got this book for a class. The content was good, and it fit the class well, but the binding ripped apart about halfway through the book. It originally cracked about a few weeks into the course, and a few months later has split entirely. I now have two halves of a book and pages are falling out.
4 of 4 people found the following review helpful.
Three Stars
By Srikumar Sandeep
Book has a binding problem. I returned it. Pages were coming off within days of buying it.
1 of 1 people found the following review helpful.
Not good for learning
By Amazon Customer
I judge a book by my ability to learn the theory using only it as a resource. This one fails. I see attempts at good teaching practices - sorting problems by difficulty, using examples, etc., but the "tutorial" problems, the easiest ones, are a step beyond the examples in the book already. In other words, you can't check your understanding by reading an example and doing a quick problem, because you need to know it that well already and the examples aren't that great. For that matter, you can't run a quick problem and check anyway, since there are no selected answers provided. The equations are all numbered, not just the important ones, so it's hard to sort through and find the critical pieces of theory. If you know the theory and/or have a good teacher, this book can be a good supplement, and has good information on Matlab, but if you are learning for the first time, look somewhere else.
Also, the binding is bad and it does fall apart.
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