TY  - BOOK
AU  - Starck,Jean-Luc
AU  - Murtagh,Fionn
AU  - Fadili,Jalal
TI  - Sparse Image and Signal Processing: Wavelets and Related Geometric Multiscale Analysis 
SN  - 9781316104514 (ebook)
AV  - QA601 .S785 2015
U1  - 621.36/7 23
PY  - 2015///
CY  - Cambridge
PB  - Cambridge University Press
KW  - Transformations (Mathematics)
KW  - Signal processing
KW  - Image processing
KW  - Sparse matrices
KW  - Wavelets (Mathematics)
N1  - Title from publisher's bibliographic system (viewed on 07 Mar 2017)
N2  - 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
UR  - https://eresourcesptsl.ukm.remotexs.co/user/login?url=https://doi.org/10.1017/CBO9781316104514
ER  -