A wavelet tour of signal processing : the sparse way

"The new edition of this classic 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 of Fourier, wavelet and time-frequency tools w...

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Dettagli Bibliografici
Autore principale: Mallat, Stéphane, 1962-...., mathématicien et chercheur en informatique
Altri autori: Peyré, Gabriel, 1979-...., chercheur en intelligence artificielle (Redattore)
Natura: Livre papier
Lingua:Anglais
Pubblicazione: Amsterdam ; Boston ; Paris [etc.] : Academic Press : Elsevier C 2009.
Edizione:Third edition.
Soggetti:
Autres localisations: Voir dans le Sudoc
Edition sous un autre format:• A wavelet tour of signal processing, the sparse way, Stéphane Mallat,..., Third edition, 2009, Amsterdam, Academic Press, Elsevier, 978-0-12-374370-1
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100 1 |a Mallat, Stéphane,  |d 1962-....,  |c mathématicien et chercheur en informatique. 
245 1 0 |a A wavelet tour of signal processing :  |b the sparse way   |c Stéphane Mallat,... ; with contributions from Gabriel Peyré. 
250 |a Third edition. 
260 |a Amsterdam ;  |a Boston ;  |a Paris [etc.] :  |b Academic Press :  |b Elsevier. 
260 |c C 2009. 
300 |a 1 volume (xx-805 pages) :  |b illustrations, couverture illustrée en couleurs ;  |c 25 cm. 
504 |a Bibliographie p. 765-793. Index 
520 |a "The new edition of this classic 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 of Fourier, wavelet and time-frequency tools which enable sparse representations of large classes of signals and images, including 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 dictionaries and compresses 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 the third edition. Sparse signal representations in dictionaries. Compressed sampling and inverse problems with applications. Geometric image processing with curvelets and bandlets. Wavelets for computer graphics with lifting on surfaces. Audio processing and denoising. Image compression with JPEG-2000. New examples and problemsA 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." 
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700 1 |a Peyré, Gabriel,  |d 1979-....,  |c chercheur en intelligence artificielle.  |4 edt 
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