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A Wavelet Tour of Signal Processing, Third Edition: The Sparse Way |  | Author: Stephane Mallat
Publisher: Academic Press
Category: Book
List Price: $99.95
Buy New: $45.99
as of 7/29/2010 07:50 CDT details
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Rating:  23 reviews
Media: Hardcover
Edition: 3
Pages: 832
Number Of Items: 1
Shipping Weight (lbs): 3.4
Dimensions (in): 9.4 x 7.5 x 1.9
ISBN: 0123743702
Dewey Decimal Number: 621.3822015152433
EAN: 9780123743701
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Product Description
Mallat's book is the undisputed reference in this field - it is the only one that covers the essential material in such breadth and depth. - Laurent Demanet, Stanford University
The new edition of this classic book gives all the major concepts, techniques and applications of sparse representation, reflecting the key role the subject plays in today's signal processing. The book clearly presents the standard representations with Fourier, wavelet and time-frequency transforms, and the construction of orthogonal bases with fast algorithms. The central concept of sparsity is explained and applied to signal compression, noise reduction, and inverse problems, while coverage is given to sparse representations in redundant dictionaries, super-resolution and compressive sensing applications.
Features:
* Balances presentation of the mathematics with applications to signal processing
* Algorithms and numerical examples are implemented in WaveLab, a MATLAB toolbox
* Companion website for instructors and selected solutions and code available for students
New in this edition
* Sparse signal representations in dictionaries
* Compressive sensing, super-resolution and source separation
* Geometric image processing with curvelets and bandlets
* Wavelets for computer graphics with lifting on surfaces
* Time-frequency audio processing and denoising
* Image compression with JPEG-2000
* New and updated exercises
A Wavelet Tour of Signal Processing: The Sparse Way, third edition, is an invaluable resource for researchers and R&D engineers wishing to apply the theory in fields such as image processing, video processing and compression, bio-sensing, medical imaging, machine vision and communications engineering.
Stephane Mallat is Professor in Applied Mathematics at École Polytechnique, Paris, France. From 1986 to 1996 he was a Professor at the Courant Institute of Mathematical Sciences at New York University, and between 2001 and 2007, he co-founded and became CEO of an image processing semiconductor company.
Companion website: A Numerical Tour of Signal Processing
Includes all the latest developments since the book was published in 1999, including its
application to JPEG 2000 and MPEG-4
Algorithms and numerical examples are implemented in Wavelab, a MATLAB toolbox
Balances presentation of the mathematics with applications to signal processing
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| Customer Reviews:
Showing reviews 1-5 of 23
 An updated classic July 13, 2009
Jean Jacques Slotine (Boston US)
5 out of 5 found this review helpful
Mallat's book is by now a classic, which I have always used in classes
as the main reference text for the field. It combines complete mastery
of the subject (Mallat himself has been one of the subject's main contributors)
with an exceptionally clear style and tutorial talent. The book is easily suitable both
for introductory and advanced graduate courses, and its entertaining style makes it
particularly attractive for self-study as well.
The third edition is a welcome and timely update. It gives a general
perspective on sparse representations for signal and image processing,
which have become an important approach to develop new
signal processing algorithms. It includes the most recent l1
minimization algorithms and applications to compressive sensing,
super-resolution estimation for inverse problems, and source
separation. A web site [...] also provides on-line
software to reproduce the figures, and updates on typos (very few
actually). Most highly recommended for anyone with interest in modern
signal processing.
The Third Edition: Not Sparse at All July 15, 2009
Ursula Molter (Buenos Aires, Argentina)
5 out of 5 found this review helpful
And Mallat did it again. In no time he came up with a revised version of his top-ranked book 'A Wavelet Tour of Signal Processing' including the new subject of sparsity. I already own a copy for my own personal reference, and ordered one for our library at the math department.
The writing of the book is superb! Mallat again improved his already masterpiece of writing - Let me quote Prof. Benedetto (Founding Editor of the Journal of Fourier Analysis and Applications and Director of the Norbert Wiener Center for Harmonic Analysis and Applications), who wrote a review about 10 books on wavelets. This is what he had to say about (the first edition of) Mallat's book:
"A Wavelet Tour of Signal Processing by Mallat will join the ranks of Meyers (Ondelettes et Op'erateurs) and Daubechies (Ten Lectures on Wavelets) as a central, inclusive, monumental, and seminal treatise on wavelet theory. (Waxing rhapsodic, the qualifier "millenial" also occurred to me.) At the risk of making arbitrary distinctions about categories whose very existence is questioned in certain company, Meyer's treatise is pure mathematics, Daubechies' treatise is applied mathematics, and Mallat's treatise is mathematical signal processing. They are all fundamental books in mathematics. Mallat has been involved with many of the most innovative wavelet ideas, both theoretical and applicable, from the late 1980s with the now classical Mallat-Meyer MRA theory and algorithm... His book reflects his fundamental ideas at the origin of the subject as well as his scientific point of view in terms of digital image processing. It also reflects a catholic point of view by making a serious multidisciplinary exposition.
Mallat has not only written a treatise, but also an excellent graduate text for students in computer science, electrical engineering, and mathematics."
I cannot agree more with these words and definitely believe that this new edition is even more suited than the earlier ones to be used as a textbook. Moreover, with the inclusion of the new point of view of sparsity, it gives the topic a new twist.
It is also a fantastic reference - and will probably soon join the `worn' first edition on the shelves of most of us working in any of the areas covered by the book!
Review of Mallat's third edition book August 12, 2009
Amir Averbuch (Israel)
4 out of 4 found this review helpful
Since its introduction, "a Wavelet tour of signal processing" is considered as the best book in this crowded field of research. I have used it every year since the introduction of the first edition. in my wavelet course. The students love it and they look at it as the "bible". It is also used as the main reference book for my M.Sc and Ph.D students who are doing theses on wavelet and its many derivatives. The book covers in depth all aspects of wavelet (theory and applications). It provides in crystal clear presentation all the aspects that undergraduate, graduate and researchers in every level need to have.
S. Mallat is doing what others do not do: he continues to update the book to reflect this dynamic field of research. Since this is an exciting evolving field of research, its dynamic evolution takes it every couple of years into a different fascinating direction. Using wavelets to achieve sparse representation is the new state-of-the-art technology. This new edition titled "A wavelet Tour of Signal Processing: The sparse way" upgrades innovatively the second edition of "A wavelet Tour of Signal Processing". It enhances substantially the second edition from 1998 by adding more applications and new avenues of research into the book.
The second edition of 1999 is considered by many as the best book and its presence in each library is a must. The newer edition titled "a Wavelet tour of signal processing: The sparse way" is better in every parameter than the second edition from 1998. Most of the main chapters from the second edition (such as Chapters II,III,IV, V, VI, VII, VIII and IX) appear and upgraded in the newer edition. S. Mallat did here the correct choice. These chapters are needed for deep understanding of wavelet signal processing. The newer edition adds to several different chapters sparse representations with bases, sparse time-frequency representations, sparse signal estimation, spare compression, dictionary representation and geometric sparse representation .
The book is intended as a graduate-level textbook. Its clarity and great exposition makes it suitable for advanced undergraduate students and for courses on signal processing and wavelets that are currently being taught in advanced undergraduate courses. I adopt it for undergraduate and graduate courses with huge success.
The exercises are very challenging and solving them is a good sign of deep understanding of the material.
In summary, the 2009 newer edition contains a wealth of information for students and researchers. It is highly recommended to be adopted as the graduate text for wavelet courses and wavelet research.
A true classic August 27, 2009
V. Ghazarian (New York)
1 out of 1 found this review helpful
I enjoyed reading this book and think it is pretty good reference and a text book on the topic of Signal Processing. In particular, I found the empirical examples useful while I didn't know anything about application of wavlets. Overall this I found the book to be a good introductory book. I found the book to be relatively up to date as it covered topics such as lifting wavelet, curvelet and bandelet, JPEG/JPEG-2000 compression, and more. I enjoyed the over all writing style and the coherent approach to solving inverse problems.
One of the best July 15, 2009
Carlos Cabrelli (Buenos Aires, Argentina)
3 out of 4 found this review helpful
Signal processing is a rapid evolving field.
When wavelets erupted in the eighties, they created a big revolution in
most of the applications in the digital world. The theory developed so fast that
it was sometimes difficult to take advantage of all the benefits of this new tool.
The first edition of Mallat's book, written by one of the leaders in the field
made the perfect match between the theory and the applications.
A complete generation learned from those pages why wavelets were useful
and how they should be applied. Very soon a second edition appeared,
to catch up with new developments and applications.
Today, more than ten years after the second edition, wavelets have become
a known tool that is in the bag of every scientist.
The search for sparse representations in redundant dictionaries is in the scene
today.
Sparsity has become the central topic and a lot of development in this emergent
area is again spreading fast and disseminating in hundreds of articles.
And again this third edition of Mallat's book, one more time, comes at the right
time, to provide a clear picture of the impact of this new field in signal processing.
This is not an old edition plus some addendum's. Most of the book
has been rewritten to reflect the new point of view. And this is done with
the same peaceful and nice style that characterized the other editions.
Fortunately, nothing important of the old material has been sacrificed.
Showing reviews 1-5 of 23
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