Customer Reviews

Mathematical Methods and Algorithms for Signal Processing

5 star:		(8)
4 star:		(3)
3 star:		(2)
2 star:		(2)
1 star:		(0)

 

 

This is a very unique book. It presents a range of material relevant to dsp and communications that you will not likely find together in any other book. I think the proofs and explanations are pretty clear, and the book is very readable. Although my math background is limitied to the math courses I've taken within my EE curriculum, I found the math in this book to be accessible and understandable.

What brings it down, however, is the absolutely insane number of errors and typos. The errata for the SECOND printing is 43 pages long! It's so thick that I can't even staple it together with a regular stapler. And that's just the mistakes that they've identified. Who knows how many others lurk in the text undetected.

I can understand a page or two of corrections, that is typical of most EE textbooks. And I can understand that since this is a first edition, there will be more mistakes than for a typical textbook which has been through several editions. But 43 pages worth of mistakes is unacceptable in my opinion. This material is difficult enough without mistakes in the proofs and explanations.

Without the huge errata I would have happily given this book 5 stars, but for now I give it 2.

DSP involves a lot of maths. This volume brings together all the necessary foundations in one place. A good book to have in your library.Beware though of the numerous typos. The errata runs to 42 pages...

Buy the second edition not this one.

That is why I gave 4 stars to a 5 star book

The book covers a wide range of topics used in signal processing, including linear algebra, Hilbert spaces, statistical procedures and methods of optimization. It also provides a detailed description of using these methods for signal processing. It is written in clear and live language, presentation is accompanied with numerous examples, illustrations, exercises and Matlab code for algorithms.

The book is useful for beginners and students who may use it as a summing up text in addition to regular textbooks on above-mentioned topics. It may also serve as enhanced handbook for postgraduate students and professionals. The book will prove useful even for those who do not feel comfortable with mathematics, because authors succeeded in putting rather complicated mathematical models in a clear and easily understandable form.

A special feature of this book is that together with classic techniques, some more recent topics, such as wavelet transforms and blind source separation are included as well.

The book is a valuable source for applications not only to signal processing, but also to a wide range of other areas.

This book is certainly technically sound. That being said, I find the notation confusing and the text relatively inacessible. The book is likely a good selection for someone wanting to study the innermost mathematical details of modern signal processing. Unfortunately, the text spends less time on actual implimentation and usage than would be preferable for audiances focussed on real world applications.

This book deals with the actual Mathematical foundations of Signal Processing algorithms that are used in a wide array of applications (like beamforming, communications, voice recognition etc..). It starts with very good introduction of Vector Spaces and Linear Algebra, and follows it with sections on Detection/Estimation Theory, Optimization Methods and Iterative/Recursive Algorithms. In my opinion, the most important feature of the book that makes it impressive is its wide coverage of topics and the different angle (mathematical rigor combined with proper explanations) at which these topics are approached. Note that this book will make more sense to an advanced student in EE rather than a beginner

An excellent book which covers a wide variety of very useful topics. The only complain that I have is with the number of formating errors. I suggest looking for the second printing, which should be out fall 2000.

Recently purchased this book and from reading parts of it the book is a very good source of the mathematics associated with signal processing. However the publisher in the latest printing I just received no longer provides the promised CDROM and the listed website where to obtain the MATLAB material on the CDROM is also no longer supported by the publisher. An e-mail response to my inquiry about the missing MATLAB code source from a representative of the publisher indicates that the book is too old and their is no need to provide the material anymore.

My undergraduate and graduate degrees both had a focus in Digital Signal Processing. Looking at my personal library, I have over 25 books that cover material that is touched on in this book. But this book is my absolute go-to. It's clear, comprehensive, and gives great references for further study.

If the typos and the software bugs weren't that many. Very good and complete reference book. It is more general than signal processing. If you can master this book you can be a very good engineer. The implementation in matlab has some bugs, but they are very helpful when it comes to understand the algorithms. It includes topics from optimization, linear algebra, probabilities etc. It's a good book to have in your library. It is worth its price.

this book is really good for a signal processing researcher.
generally it is difficult for a new researcher to connect math to the signal processing methods. conventional signal processing books only give the bit of math as needed in the signal processing books and this makes it difficult for an inexperienced student.
in this book mathematics is explained in more detail and in the introduction of each chapter it is mentioned why and where you would need this math knowledge.
at the end of each chapter application sections are provided
where problems from signal processing are explained for that particular mathematical method.

there are also exercises.

however, this book can be difficult for a new graduate without any establishment of signal processing concepts and problems.

it is an excellent book for a phd student in my view and it can be a classic.