Catalogue Bibliothèque de L'IMIST/CNRST › Résultats de la recherche pour 'ccl=su:Signal processing'

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		Sparse image and signal processing wavelets, curvelets, morphological diversity par Starck, J.-L Publication : Cambridge \| New York Cambridge University Press 2010 . xvii, 316 pages, [16] pages of plates , "Presenting the state of the art in sparse and multiscale image and signal processing, this book weds theory and practice to examine their applications in a diverse range of fields"--Provided by publisher. \| "This book presents the state of the art in sparse and multiscale image and signal processing, covering linear multiscale transforms, such as wavelet, ridgelet, or curvelet transforms, and non-linear multiscale transforms based on the median and mathematical morphology operators. Recent concepts of sparsity and morphological diversity are described and exploited for various problems such as denoising, inverse problem regularization, sparse signal decomposition, blind source separation, and compressed sensing. This book weds theory and practice in examining applications in areas such as astronomy, biology, physics, digital media, and forensics. A final chapter explores a paradigm shift in signal processing, showing that previous limits to information sampling and extraction can be overcome in very significant ways. Matlab and IDL code accompany these methods and applications to reproduce the experiments and illustrate the reasoning and methodology of the research available for download at the associated Web site"--Provided by publisher. 27 cm. Date : 2010 Disponibilité : Exemplaires disponibles: La bibliothèque des sciences de l'ingénieur (1), Réserver Ajouter au panier (Supprimer)
		Wavelets and signal processing : an application-based introduction / par Stark,, Hans-Georg. Publication : Berlin ; \| New York : Springer, 2005 . x, 150 p. : 25 cm. Date : 2005 Disponibilité : Exemplaires disponibles: La bibliothèque des sciences de l'ingénieur (1), Réserver Ajouter au panier (Supprimer)
		Wavelets in signal and image analysis : from theory to practice Publication : [S.l.] Springer 2009 . 545 p. , Despite their novelty, wavelets have a tremendous impact on a number of modern scientific disciplines, particularly on signal and image analysis. Because of their powerful underlying mathematical theory, they offer exciting opportunities for the design of new multi-resolution processing algorithms and effective pattern recognition systems. This book provides a much-needed overview of current trends in the practical application of wavelet theory. It combines cutting edge research in the rapidly developing wavelet theory with ideas from practical signal and image analysis fields. Subjects dealt with include balanced discussions on wavelet theory and its specific application in diverse fields, ranging from data compression to seismic equipment. In addition, the book offers insights into recent advances in emerging topics such as double density DWT, multiscale Bayesian estimation, symmetry and locality in image representation, and image fusion. Audience: This volume will be of interest to graduate students and researchers whose work involves acoustics, speech, signal and image processing, approximations and expansions, Fourier analysis, and medical imaging. 24 cm. Date : 2009 Disponibilité : Exemplaires disponibles: La bibliothèque des sciences de l'ingénieur (1), Réserver Ajouter au panier (Supprimer)
		A wavelet tour of signal processing / par Mallat, S. G. Publication : . 1 online resource (xxiv, 637 pages) : Disponibilité : http://www.sciencedirect.com/science/book/9780124666061, Ajouter au panier (Supprimer)

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