ISBN: 9781107088061 - sparse image and signal processing: wavelets and related geometric multiscale analysis (10 Ergebnisse)

Zustand: Good. Your purchase helps support Sri Lankan Children's Charity 'The Rainbow Centre'. Ex-library, so some stamps and wear, but in good overall condition. Our donations to The Rainbow Centre have helped provide an education and a safe haven to hundreds of children who live in appalling conditions.…

Zustand: New.

Zustand: New.

Hardback. Zustand: New. This thoroughly updated new edition presents state-of-the-art sparse and multiscale image and signal processing. It covers linear multiscale geometric transforms, such as wavelet, ridgelet, or curvelet transforms, and non-linear multiscale transforms based on the median and mathematical morphology operators. Along with an up-to-the-minute description of required computation, it covers the latest results in inverse problem solving and regularization, sparse signal decomposition, blind source separation, in-painting, and compressed sensing. New chapters and sections cover multiscale geometric transforms for three-dimensional data (data cubes), data on the sphere (geo-located data), dictionary learning, and nonnegative matrix factorization. The authors wed theory and practice in examining applications in areas such as astronomy, including recent results from the European Space Agency's Herschel mission, biology, fusion physics, cold dark matter simulation, medical MRI, digital media, and forensics. MATLAB® and IDL code, available online at www.SparseSignalRecipes.info, accompany these methods and all applications.…

Zustand: As New. Unread book in perfect condition.

Hardcover. Zustand: Brand New. 2nd edition. 444 pages. 10.34x7.07x1.19 inches. In Stock.

Buch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - This thoroughly updated new edition presents state-of-the-art sparse and multiscale image and signal processing. It covers linear multiscale geometric transforms, such as wavelet, ridgelet, or curvelet transforms, and non-linear multiscale transforms based on the median and mathematical morphology operators. Along with an up-to-the-minute description of required computation, it covers the latest results in inverse problem solving and regularization, sparse signal decomposition, blind source separation, in-painting, and compressed sensing. New chapters and sections cover multiscale geometric transforms for three-dimensional data (data cubes), data on the sphere (geo-located data), dictionary learning, and nonnegative matrix factorization. The authors wed theory and practice in examining applications in areas such as astronomy, including recent results from the European Space Agency's Herschel mission, biology, fusion physics, cold dark matter simulation, medical MRI, digital media, and forensics. MATLAB® and IDL code, available online at SparseSignalRecipes.info, accompany these methods and all applications.…

Zustand: New. State of the art sparse and multiscale image and signal processing with applications in astronomy, biology, MRI, media, and forensics. Num Pages: 444 pages, 194 b/w illus. 109 colour illus. 8 tables. BIC Classification: PHVB; UYA; UYS; UYT. Category: (P) Professional & Vocational. Dimension: 253 x 177 x 30. Weight in Grams: 1012. . 2015. 2nd Edition. Hardcover. . . . . Books ship from the US and Ireland. …

Hardback. Zustand: New. This thoroughly updated new edition presents state-of-the-art sparse and multiscale image and signal processing. It covers linear multiscale geometric transforms, such as wavelet, ridgelet, or curvelet transforms, and non-linear multiscale transforms based on the median and mathematical morphology operators. Along with an up-to-the-minute description of required computation, it covers the latest results in inverse problem solving and regularization, sparse signal decomposition, blind source separation, in-painting, and compressed sensing. New chapters and sections cover multiscale geometric transforms for three-dimensional data (data cubes), data on the sphere (geo-located data), dictionary learning, and nonnegative matrix factorization. The authors wed theory and practice in examining applications in areas such as astronomy, including recent results from the European Space Agency's Herschel mission, biology, fusion physics, cold dark matter simulation, medical MRI, digital media, and forensics. MATLAB® and IDL code, available online at www.SparseSignalRecipes.info, accompany these methods and all applications.…

Zustand: New. State of the art sparse and multiscale image and signal processing with applications in astronomy, biology, MRI, media, and forensics. Num Pages: 444 pages, 194 b/w illus. 109 colour illus. 8 tables. BIC Classification: PHVB; UYA; UYS; UYT. Category: (P) Professional & Vocational. Dimension: 253 x 177 x 30. Weight in Grams: 1012. . 2015. 2nd Edition. Hardcover. . . . . …