Customer Reviews: Read 9 more reviews...
 An excellent and deep introduction to math methods March 23, 2000
7 out of 7 found this review helpful
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.
A wonderful companion.... July 24, 2001
7 out of 7 found this review helpful
Having taken Dr. Moon's class in Fall 2000. I find this book to be a wonderful complement to his teaching style. The authors work on the basics of matrix and vector techniques in some detail, though never losing sight of the main objective of introducing the topics in a way suitable for a student of Signal Processing. The book also covers some advanced topics in iterative methods in SP, as also building on its solid base to touch upon Detection/Estimation theory. The high point of the book is the gradual, but fast paced and logical progression from the basics to more specialized topics, and the exhaustive set of examples in the accompanying CD-ROM. Also, the historical tit-bits which the author peppers us with (as Dr. Moon would do so many times in class!!) makes for some delightful and insightful reading. This book is a must for every Signal Processing student as also for anyone looking for computationally sound content on some topics on Communications. A caveat, though, beware of the typos, especially in the formulae, which will force you to keep looking up in the errata, time and again....And make sure you have some basic knowledge of MATLAB before you begin this book.
Very accessible, enjoyable book March 23, 2000
C. Peel (Provo, UT)
4 out of 4 found this review helpful
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.
A different treatment of Signal Processing ... September 3, 2002
Master of Puppets (Lawrence, KS United States)
4 out of 4 found this review helpful
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
excellent collection of signal processing math January 5, 2006
iozce (uk)
4 out of 6 found this review helpful
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.
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