000			02810nam 2200349| 4500
001			84442
005			20210630163456.0
010			_a978-3-319-16042-9 _dcompra
090			_a84442
100			_a20190128d2015 k||y0pory50 ba
101	0		_aeng
102			_aUS
200	1		_aCompressed sensing and its applications _bDocumento electrónico _eMATHEON Workshop 2013 _fedited by Holger Boche...[et al.]
210			_aCham _cSpringer International Publishing _cBirkhäuser _d2015
215			_aXII, 472 p.
225	2		_aApplied and Numerical Harmonic Analysis
300			_aColocação: Online
303			_aSince publication of the initial papers in 2006, compressed sensing has captured the imagination of the international signal processing community, and the mathematical foundations are nowadays quite well understood. Parallel to the progress in mathematics, the potential applications of compressed sensing have been explored by many international groups of, in particular, engineers and applied mathematicians, achieving very promising advances in various areas such as communication theory, imaging sciences, optics, radar technology, sensor networks, or tomography. Since many applications have reached a mature state, the research center MATHEON in Berlin focusing on "Mathematics for Key Technologies", invited leading researchers on applications of compressed sensing from mathematics, computer science, and engineering to the "MATHEON Workshop 2013: Compressed Sensing and its Applications” in December 2013. It was the first workshop specifically focusing on the applications of compressed sensing. This book features contributions by the plenary and invited speakers of this workshop. To make this book accessible for those unfamiliar with compressed sensing, the book will not only contain chapters on various applications of compressed sensing written by plenary and invited speakers, but will also provide a general introduction into compressed sensing. The 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 interested in the potential and applications of the novel methodology of compressed sensing.  For those readers who are not already familiar with compressed sensing, an introduction to the basics of this theory will be included.
410	1		_x2296-5009
606			_aTeoria de codificação
606			_aAnálise numérica
606			_aMatrizes
606			_aProcessamento de imagem
606			_aProcessamento de sinal
680			_aQA268
702			_959824 _aBoche _bHolger _4340
801		0	_gRPC _aPT
856			_uhttps://doi.org/10.1007/978-3-319-16042-9
942			_2lcc _cF _n0