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Få notis vid prissänkningAv: Stéphane G. Mallat
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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 UniversityThe 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 toolboxNew 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 exercisesA 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 itsapplication 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
Bra läge att köpa
Bokus
17 kr dyrare
Rör sig ofta
Författare
Stéphane G. Mallat
Författare
Stéphane G. Mallat
Förlag
Elsevier/Academic Press
Utgivningsår
2009
Sidantal
805
Språk
Engelska
Fysiska detaljer
ill.
Dewey
621.3822
ISBN
9780123743701
Av: Stéphane G. Mallat
Lägsta pris
Bokus

1 079 kr
Amazon
Bokbörsen
Vi har hittat boken hos 3 butiker med verifierade priser — alla är partnerbutiker som vi får provision från när du klickar på ”Visa hos butik”. Vissa butiker visas som extern länk utan pris — priset ser du först hos butiken. Priset för dig är detsamma. Frakt kan tillkomma och varierar mellan butiker och leveranssätt — kontrollera alltid aktuellt pris och leveransvillkor hos butiken innan du slutför köpet.
Skriver du om boken på en blogg eller sajt? .
Priset har nyligen gått ner jämfört med butikens eget tidigare pris.
Det lägsta priset vi sett för boken sedan Booki började mäta.
Billigaste butiken ligger under de övriga butikernas medianpris just nu — en jämförelse mellan butiker, inte ett prisfall över tid.
Butiken med lägst pris i prislistan på boksidan just nu.
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 UniversityThe 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 toolboxNew 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 exercisesA 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 itsapplication 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
Bra läge att köpa
Bokus
17 kr dyrare
Rör sig ofta
Författare
Stéphane G. Mallat
Författare
Stéphane G. Mallat
Förlag
Elsevier/Academic Press
Utgivningsår
2009
Sidantal
805
Språk
Engelska
Fysiska detaljer
ill.
Dewey
621.3822
ISBN
9780123743701
2009 · Engelska
the sparse way
Stéphane G. Mallat
ISBN 9780123743701 jämförs hos alla butiker
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 UniversityThe 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 toolboxNew 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 exercisesA 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 itsapplication 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
Bra läge att köpa
Bokus
17 kr dyrare
Rör sig ofta
Författare
Stéphane G. Mallat
Förlag
Elsevier/Academic Press
Utgivningsår
2009
Sidantal
805
Språk
Engelska
ISBN
9780123743701
Det lägsta priset just nu är 1079 kr hos Bokus, av 3 butiker vi jämför. Priser ändras löpande – kontrollera alltid slutpris och frakt hos butiken innan köp.
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