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Titlebook: Compressed Sensing and its Applications; Second International Holger Boche,Giuseppe Caire,Rudolf Mathar Book 2017 Springer International Pu

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书目名称Compressed Sensing and its Applications
副标题Second International
编辑Holger Boche,Giuseppe Caire,Rudolf Mathar
视频video
概述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 ma
丛书名称Applied and Numerical Harmonic Analysis
图书封面Titlebook: Compressed Sensing and its Applications; Second International Holger Boche,Giuseppe Caire,Rudolf Mathar Book 2017 Springer International Pu
描述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. .
出版日期Book 2017
关键词Compressed Sensing; Dimensionality Reduction; Information Theory; Random Matrices; Sparse Approximation;
版次1
doihttps://doi.org/10.1007/978-3-319-69802-1
isbn_softcover978-3-319-88845-3
isbn_ebook978-3-319-69802-1Series ISSN 2296-5009 Series E-ISSN 2296-5017
issn_series 2296-5009
copyrightSpringer International Publishing AG 2017
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Versatile and Scalable Cosparse Methods for Physics-Driven Inverse Problems,a wide range of problems governed by physical laws, how it can be adapted to each of these problems in a very versatile fashion, and how it can scale up to large volumes of data typically arising in applications.
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Fourier Phase Retrieval: Uniqueness and Algorithms,ngineering and science. Fourier phase retrieval poses fundamental theoretical and algorithmic challenges. In general, there is no unique mapping between a one-dimensional signal and its Fourier magnitude, and therefore the problem is ill-posed. Additionally, while almost all multidimensional signals
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Compressed Sensing Approaches for Polynomial Approximation of High-Dimensional Functions,rk we present a survey of recent progress in this emerging topic. Our main focus is on the computation of polynomial approximations of high-dimensional functions on .-dimensional hypercubes. We show that smooth, multivariate functions possess expansions in orthogonal polynomial bases that are not on
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