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عنوان
Sparse image and signal processing :

پدید آورنده
Jean-Luc Starck, Fionn Murtagh, Jalal M. Fadili

موضوع
Image processing,Signal processing,Sparse matrices,Transformations (Mathematics),Wavelets (Mathematics)

رده
QA601
.
S785
2010

کتابخانه
کتابخانه مطالعات اسلامی به زبان های اروپایی

محل استقرار
استان: قم ـ شهر: قم

کتابخانه مطالعات اسلامی به زبان های اروپایی

تماس با کتابخانه : 32910706-025

0521119138
9780521119139

b528455

Sparse image and signal processing :
[Book]
wavelets, curvelets, morphological diversity /
Jean-Luc Starck, Fionn Murtagh, Jalal M. Fadili

New York :
Cambridge University Press,
2010

xvii, 316 pages, [16] pages of plates :
illustrations (some color) ;
27 cm

Includes bibliographical references and index

Introduction 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
0

"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

Image processing
Signal processing
Sparse matrices
Transformations (Mathematics)
Wavelets (Mathematics)

621
.
36/7
22

QA601
.
S785
2010

Starck, J.-L., (Jean-Luc),1965-

Fadili, Jalal M.,1973-
Murtagh, Fionn

20100613114815.0
rda

 مطالعه متن کتاب 

[Book]

Y

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