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＜電子ブック＞
Compressed Sensing and its Applications : Second International MATHEON Conference 2015 / edited by Holger Boche, Giuseppe Caire, Robert Calderbank, Maximilian März, Gitta Kutyniok, Rudolf Mathar
(Applied and Numerical Harmonic Analysis. ISSN:22965017)

版	1st ed. 2017.
出版者	(Cham : Springer International Publishing : Imprint: Birkhäuser)
出版年	2017
本文言語	英語
大きさ	XIX, 388 p. 77 illus., 57 illus. in color : online resource
著者標目	Boche, Holger editor Caire, Giuseppe editor Calderbank, Robert editor März, Maximilian editor Kutyniok, Gitta editor Mathar, Rudolf editor SpringerLink (Online service)
件　名	LCSH:Computer science -- Mathematics  全ての件名で検索 LCSH:Numerical analysis LCSH:Signal processing LCSH:Coding theory LCSH:Information theory LCSH:Algebras, Linear LCSH:Mathematics -- Data processing  全ての件名で検索 FREE:Mathematical Applications in Computer Science FREE:Numerical Analysis FREE:Signal, Speech and Image Processing FREE:Coding and Information Theory FREE:Linear Algebra FREE:Computational Science and Engineering
一般注記	Preface -- On the Global-Local Dichotomy in Sparsity Modeling, Batenkov, Romano, Elad -- Fourier Phase Retrieval: Uniqueness and Algorithms, Bendory, Beinert, Eldar -- Compressed Sensing Approaches for Polynomial Approximation of High-Dimensional Functions, Adcock, Brugiapaglia, Webster -- Multisection in the Stochastic Block Model using Semidefinite Programming, Agarwal, Bandeira, Koiliaris, Kolla -- Recovering Signals with Unknown Sparsity in Multiple Dictionaries, Ahmad, Schniter -- Compressive Classification and the Rare Eclipse Problem, Bandeira, Mixon, Recht -- Weak Phase Retrieval, Bothelo-Andrade, Casazza, Ghoreishi, Jose, Tremain -- Cubatures on Grassmannians: Moments, Dimension Reduction, and Related Topics, Breger, Ehler, Gräf, Peter -- A Randomized Tensor Train Singular Value Decomposition, Huber, Schneider, Wolf -- Versatile and Scalable Cosparse Methods for Phsyics-driven Inverse Problems, Kitić, Bensiad, Albera, Bertin, Gribonval -- Total Variation Minimization in Compressed Sensing, Felix Krahmer, Kruschel, Sandbichler -- Compressed Sensing in Hilbert Spaces, Traonmilin, Puy, Gribonval, Davies This contributed volume contains articles written by the plenary and invited speakers from the second international MATHEON Workshop 2015 that focus on applications of compressed sensing. Article authors address their techniques for solving the problems of compressed sensing, as well as connections to related areas like detecting community-like structures in graphs, curbatures on Grassmanians, and randomized tensor train singular value decompositions. Some of the novel applications covered include dimensionality reduction, information theory, random matrices, sparse approximation, and sparse recovery.  This book is aimed at both graduate students and researchers in the areas of applied mathematics, computer science, and engineering, as well as other applied scientists exploring the potential applications for the novel methodology of compressed sensing. An introduction to the subject of compressed sensing is also provided for researchers interested in thefield who are not as familiar with it.  HTTP:URL=https://doi.org/10.1007/978-3-319-69802-1

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