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Wavelet Tour Signal Processing 3rd Sparse Way Mallat Mathematics 2008 HC
US $59.99
ApproximatelyS$ 77.32
Condition:
“Third Ed, 2008. Hardcover. Scattered markings, underlining, & formulas notations, for the most to ”... Read moreabout 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.
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Shipping:
US $9.99 (approx S$ 12.88) USPS Media MailTM.
Located in: Chapel Hill, North Carolina, United States
Delivery:
Estimated between Wed, 8 Oct and Tue, 14 Oct to 94104
Returns:
30 days return. Buyer pays for return shipping. If you use an eBay shipping label, it will be deducted from your refund amount.
Coverage:
Read item description or contact seller for details. See all detailsSee all details on coverage
(Not eligible for eBay purchase protection programmes)
Seller assumes all responsibility for this listing.
eBay item number:116741808679
Item specifics
- Condition
- Good
- Seller Notes
- 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
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
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
Item description from the seller
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