Wavelet Tour Signal Processing 3rd Sparse Way Mallat Mathematics 2008 HC

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ApproximatelyS$ 77.32
Condition:
Good
Third Ed, 2008. Hardcover. Scattered markings, underlining, & formulas notations, for the most to ... Read moreabout condition
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eBay item number:116741808679
Last updated on Sep 25, 2025 22:56:39 SGTView all revisionsView all revisions

Item specifics

Condition
Good
A book that has been read but is in good condition. Very minimal damage to the cover including scuff marks, but no holes or tears. The dust jacket for hard covers may not be included. Binding has minimal wear. The majority of pages are undamaged with minimal creasing or tearing, minimal pencil underlining of text, no highlighting of text, no writing in margins. No missing pages. See all condition definitionsopens in a new window or tab
Seller Notes
“Third Ed, 2008. Hardcover. Scattered markings, underlining, & formulas notations, for the most to ...
Country/Region of Manufacture
United States
Signed By
Previous Owner Name Stamps
Personalized
No
Edition
Third Edition; 3rd
Signed
No
Intended Audience
Adults
Era
2000s; Modern Era; Contemporary Mathematics; 21st Century; Digita
Features
Hardcover; B&W Illustrations; Mathematical Formulas; Third Editio
Vintage
No
Topic
Math & Science; Signal Analysis; Digital Processing; Wavelet Tran
Book Title
A Wavelet Tour of Signal Processing: The Sparse Way
Genre
Mathematics; Science; Engineering & Technology; Education; Mathem
Ex Libris
No
Literary Movement
Mathematical Literature; Academic Literature; Engineering Literat
Personalize
No
Illustrator
N/A
Narrative Type
Nonfiction
Inscribed
No
Book Series
A Wavelet Tour of Signal Processing; A Wavelet Tour of Signal Pro
ISBN
9780123743701
Category

About this product

Product Identifiers

Publisher
Elsevier Science & Technology
ISBN-10
0123743702
ISBN-13
9780123743701
eBay Product ID (ePID)
112173089

Product Key Features

Number of Pages
832 Pages
Language
English
Publication Name
Wavelet Tour of Signal Processing : the Sparse Way
Publication Year
2008
Subject
Signals & Signal Processing, Mathematical Analysis, Discrete Mathematics
Type
Textbook
Subject Area
Mathematics, Technology & Engineering
Author
Stéphane Mallat
Format
Hardcover

Dimensions

Item Length
9.2 in
Item Width
7.5 in

Additional Product Features

Edition Number
3
Intended Audience
Scholarly & Professional
Dewey Edition
22
TitleLeading
A
Reviews
"There is no question that this revision should be published. 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, "This graduate-level textbook presents an excellently written, comprehensive survey of all major concepts, techniques, and applications of sparse representations which play a key role in signal processing" -- Manfred Tasche (Rostock), Zentralblatt MATH"There is no question that this revision should be published. 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, "This graduate-level textbook presents an excellently written, comprehensive survey of all major concepts, techniques, and applications of sparse representations which play a key role in signal processing" -- Manfred Tasche (Rostock), Zentralblatt MATH "There is no question that this revision should be published. 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
Illustrated
Yes
Dewey Decimal
621.3822
Table Of Content
PrefaceNotationsSparse RepresentationsFourier KingdomDiscrete RevolutionTime Meets FrequencyFramesWavelet ZoomWavelet BasesWavelet Packet and Local Cosine BasesApproximations in BasesCompressionDenoisingSparse in Redundant DictionariesMathematical Complements
Synopsis
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 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 cole 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. 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, 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 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.
LC Classification Number
TK5102.9

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