LEADER 05800nam 22008535 450 001 9910255455903321 005 20200630150727.0 010 $a3-319-69802-8 024 7 $a10.1007/978-3-319-69802-1 035 $a(CKB)4100000001794750 035 $a(DE-He213)978-3-319-69802-1 035 $a(MiAaPQ)EBC5228470 035 $a(PPN)223955841 035 $a(EXLCZ)994100000001794750 100 $a20180117d2017 u| 0 101 0 $aeng 135 $aurnn|008mamaa 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aCompressed Sensing and its Applications$b[electronic resource] $eSecond International MATHEON Conference 2015 /$fedited by Holger Boche, Giuseppe Caire, Robert Calderbank, Maximilian März, Gitta Kutyniok, Rudolf Mathar 205 $a1st ed. 2017. 210 1$aCham :$cSpringer International Publishing :$cImprint: Birkhäuser,$d2017. 215 $a1 online resource (XIX, 388 p. 77 illus., 57 illus. in color.) 225 1 $aApplied and Numerical Harmonic Analysis,$x2296-5009 311 $a3-319-69801-X 320 $aIncludes bibliographical references at the end of each chapters. 327 $aPreface -- 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, Kiti?, Bensiad, Albera, Bertin, Gribonval -- Total Variation Minimization in Compressed Sensing, Felix Krahmer, Kruschel, Sandbichler -- Compressed Sensing in Hilbert Spaces, Traonmilin, Puy, Gribonval, Davies. 330 $aThis contributed volume contains articles written by the plenary and invited speakers from the second international MATHEON Workshop 2015 that focus on applications of compressed sensing. Article authors address their techniques for solving the problems of compressed sensing, as well as connections to related areas like detecting community-like structures in graphs, curbatures on Grassmanians, and randomized tensor train singular value decompositions. Some of the novel applications covered include dimensionality reduction, information theory, random matrices, sparse approximation, and sparse recovery.  This book is aimed at both graduate students and researchers in the areas of applied mathematics, computer science, and engineering, as well as other applied scientists exploring the potential applications for the novel methodology of compressed sensing. An introduction to the subject of compressed sensing is also provided for researchers interested in the field who are not as familiar with it. . 410 0$aApplied and Numerical Harmonic Analysis,$x2296-5009 606 $aInformation theory 606 $aNumerical analysis 606 $aSignal processing 606 $aImage processing 606 $aSpeech processing systems 606 $aCoding theory 606 $aMatrix theory 606 $aAlgebra 606 $aComputer mathematics 606 $aInformation and Communication, Circuits$3https://scigraph.springernature.com/ontologies/product-market-codes/M13038 606 $aNumerical Analysis$3https://scigraph.springernature.com/ontologies/product-market-codes/M14050 606 $aSignal, Image and Speech Processing$3https://scigraph.springernature.com/ontologies/product-market-codes/T24051 606 $aCoding and Information Theory$3https://scigraph.springernature.com/ontologies/product-market-codes/I15041 606 $aLinear and Multilinear Algebras, Matrix Theory$3https://scigraph.springernature.com/ontologies/product-market-codes/M11094 606 $aComputational Science and Engineering$3https://scigraph.springernature.com/ontologies/product-market-codes/M14026 615 0$aInformation theory. 615 0$aNumerical analysis. 615 0$aSignal processing. 615 0$aImage processing. 615 0$aSpeech processing systems. 615 0$aCoding theory. 615 0$aMatrix theory. 615 0$aAlgebra. 615 0$aComputer mathematics. 615 14$aInformation and Communication, Circuits. 615 24$aNumerical Analysis. 615 24$aSignal, Image and Speech Processing. 615 24$aCoding and Information Theory. 615 24$aLinear and Multilinear Algebras, Matrix Theory. 615 24$aComputational Science and Engineering. 676 $a006.6 702 $aBoche$b Holger$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aCaire$b Giuseppe$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aCalderbank$b Robert$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aMärz$b Maximilian$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aKutyniok$b Gitta$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aMathar$b Rudolf$4edt$4http://id.loc.gov/vocabulary/relators/edt 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910255455903321 996 $aCompressed sensing and its applications$91522582 997 $aUNINA