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Digital Signal Processing: A Computer-Based Approach: With DSP Laboratory Using MATLAB
Digital Signal Processing: A Computer-Based Approach: With DSP Laboratory Using MATLAB
Date: 06 May 2011, 18:56

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"Digital Signal Processing: A Computer-Based Approach" is intended for a two-semester course on digital signal processing for seniors or first-year graduate students. Based on user feedback, a number of new topics have been added to the second edition, while some excess topics from the first edition have been removed. The author has taken great care to organize the chapters more logically by reordering the sections within chapters. More worked-out examples have also been included. The book contains more than 500 problems and 150 MATLAB exercises. New topics in the second edition include: finite-dimensional discrete-time systems, correlation of signals, inverse systems, system identification, matched filter, design of analog and IIR digital highpass, bandpass and bandstop filters, more on FIR filters, spectral analysis of random signals and sparse antenna array design. A corrected version of the main text is now packaged with "Digital Signal Processing Laboratory Using MATLAB", which is intended for a computer-based DSP laboratory course that supplements a lecture course on Digital Signal Processing.
The lab book includes 11 laboratory exercises, with each exercise containing a number of projects to be carried out on a computer. The book assumes that the reader has no background in MATLAB and teaches the reader, through tested programs in the first half of the book, the basics of this powerful language in solving important problems in signal processing. In the second half of the book, the student is asked to write the necessary MATLAB programs to carry out the projects.
Reviews
Summary: Great as a reference, probably not for a beginner
Rating: 4
This book is wonderful as a reference for those conversant in DSP. This book's primary strength is the breadth and depth of the material covered. This book contains material on a wide variety of topics; more than most DSP textbooks. The other selling point of this book is its close association with MATLAB. There are quite a few MATLAB examples in the companion CD. Using MATLAB makes learning DSP much easier and more intuitive. The reader can play around with the example programs to get a real feel for the subject matter. Beginners might find this book a bit difficult to read through. In a few places the explanation is either not clear or could have been written more intuitively. For newbies, I would probably suggest other books which are better written (such as Proakis).
I particularly liked the following sections:
Chapters 3-5 - Especially the sections of filter design for A/D and D/A converters. I like that the z-transform is introduced after Fourier transform.
Chapter 8 - A comprehensive treatment of filter structures.
Chapter 12 - Good coverage of issues associated with fixed point implementations. This can be appreciated more by practicing engineers.
Chapter 15 - This chapter looks at a few real world applications of DSP. Its both informative and insightful. This was my favorite chapter.
Summary: Not useful for exam preparation
Rating: 2
Although this book has a good amount of Matlab examples, they will not help you prepare for any practical DSP exams. I recently bought this book as a required textbook for a graduate course on DSP and I found myself having to use my undergraduate book on DSP (Proakis) for learning the material and preparing for my exams. This book's weakness lies in the fact that the examples are not worked out in detail, but rather they are shown through the use of matlab functions and commands which will in no way prepare you for working out a problem's answers using the tried and true paper, pencil, and calculator approach. I found myself frustrated several times during my homework assignments because there were not enough examples worked out showing the nitty gritty details of the solution. Instead, the solutions were in matlab which only helps if the problem being solved is asking for a matlab solution. The only plus side of this book is that it does use matlab to teach some DSP concepts just as the title says but I agree with the other reviewers that this book is nothing special. I found Proakis and Manolakis to be a far better book with worked out problems and only used this Mitra book for matlab problems on DSP.
Summary: Too expensive, not better than others
Rating: 3
I bought this book as it was a required book at the University. I found that it is no better then any other introductory book on DSP such as the one by Boaz Porat. Moreover, you could buy two other DSP books at the same price.
Regarding the content,I have to say that it does cover all the topics needed in an introductory DSP course and coupled with the MATLAB drills it will teach you step by step how to implement your DSP theory into practice using MATLAB.
Had it not been for the price, I would have given it 4 stars but no more than that.
Summary: Very Good Book
Rating: 5
This is very good book for teaching and for self study of digital signal processing. It is especially useful for Matlab users.
Summary: The Best Digital Signal Processing text book ever seen!
Rating: 4
I am a TA at a University, My class is Digital Signal Processing, So I read many DSP books ever,(except Understanding Digital Signal Processing, which is recommended by many people, but I have no opportunity to read it). Though Oppenheim is classic, it is a bit hard for undergraduate student to understand. With the help of Matlab. it become more easier!
Though this book is not the best one in the field of DSP, but it is the best text book!
I am honoured to be the translator of this book. The Chinese Version will be publised in 2004.
I have to admit that there are still many errors of this book(many are printed errors).
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