Compressed Sensing and its Applications
Second International MATHEON Conference 2015
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Beschreibung
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.
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 the field who are not as familiar with it.
Explores many of the novel applications of compressed sensing developed since the previous MATHEON Workshop in 2013 Chapters written by leading researchers in compressed sensing with backgrounds in mathematics, computer science, and engineering A thorough introduction to compressed sensing provided for readers who may not be familiar with it Will appeal to a broad audience with research in areas ranging from applied mathematics, signal processing, and electrical engineering to computer science, image sciences, and sparse approximation
Autor*in
Holger Boche
Themen in »Compressed Sensing and its Applications«
Compressed Sensing Dimensionality Reduction Information Theory Random Matrices Sparse Approximation Sparse Recovery Fourier phase retrieval Hilbert spaces stochastic block model sparse probability measures information and communication, circuits matrix theory