Compressed Sensing and its Applications Second International MATHEON Conference 2015 /

• Corporate Author: SpringerLink (Online service)
• Other Authors: Boche, Holger (Editor), Caire, Giuseppe (Editor), Calderbank, Robert (Editor), März, Maximilian (Editor), Kutyniok, Gitta (Editor), Mathar, Rudolf (Editor)
• Format: Electronic eBook
• Language: English
• Published: Cham : Springer International Publishing : Imprint: Birkhäuser, 2017.
• Series: Applied and Numerical Harmonic Analysis,
• Subjects: Mathematics.; Coding theory.; Matrix theory.; Algebra.; Information theory.; Computer mathematics.; Numerical analysis.; Information and Communication, Circuits.; Numerical Analysis.; Signal, Image and Speech Processing.; Coding and Information Theory.; Linear and Multilinear Algebras, Matrix Theory.; Computational Science and Engineering.

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...

Table of Contents:

• 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.