000			03037nam a2200409 a 4500
005			20250918122556.0
008			101022s2010 enkaf b 001 0 eng
010			_a2009-047391
020			_a9780521119139 (hbk.) _cRM210.27
020			_a0521119138 (hbk.)
039		9	_a201011250805 _blatihan _c201011241442 _dlatihan _c201011241215 _dlatihan _c201010221140 _drahah _y10-22-2010 _zrahah
040			_aUKM
090			_aQA601.S734
090			_aQA601 _b.S734
100	1		_aStarck, J.-L. _q(Jean-Luc), _d1965-
245	1	0	_aSparse image and signal processing : _bwavelets, curvelets, morphological diversity / _cJean-Luc Starck, Fionn Murtagh, Jalal M. Fadili
260			_aCambridge : _bCambridge University Press, _c2010
300			_axvii, 316 p., [16] p. of plates : _bill. (some col.) ; _c27 cm.
504			_aIncludes bibliographical references and index
505	0		_aIntroduction to the world of sparsity -- The wavelet transform -- Redundant wavelet transform -- Nonlinear multiscale transforms -- The ridgelet and curvelet transforms -- Sparsity and noise removal -- Linear inverse problems -- Morphological diversity -- Sparse blind source separation -- Multiscale geometric analysis on the sphere -- Compressed sensing
520			_a'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
520			_a'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
650		0	_aTransformations (Mathematics)
650		0	_aSignal processing
650		0	_aImage processing
650		0	_aSparse matrices
650		0	_aWavelets (Mathematics)
700	1		_aMurtagh, Fionn.
700	1		_aFadili, Jalal M., _d1973-
907			_a.b14821023 _b2021-05-28 _c2019-11-12
942			_c01 _n0 _kQA601.S734
914			_avtls003443410
990			_aNOR
991			_aFakulti Teknologi & Sains Maklumat
998			_at _b2010-09-10 _cm _da _feng _genk _y0 _z.b14821023
999			_c468820 _d468820