331969801x

Compressed Sensing and its Applications: Second International MATHEON Conference 2015

Compressed Sensing and its Applications: Second International MATHEON Conference 2015 by Holger Boche, Giuseppe Caire, Robert Calderbank, Maximilian März, Gitta Kutyniok, Rudolf Mathar
English | 2017 | ISBN: 331969801X | 388 Pages | PDF | 16.9 MB

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.

Compressed Sensing and its Applications: Second International MATHEON Conference 2015  eBooks & eLearning

Posted by AvaxGenius at Jan. 18, 2018
Compressed Sensing and its Applications: Second International MATHEON Conference 2015

Compressed Sensing and its Applications: Second International MATHEON Conference 2015 By Holger Boche
English | PDF,EPUB | 2017 | 402 Pages | ISBN : 331969801X | 15.03 MB

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.
Compressed Sensing and its Applications: Second International MATHEON Conference 2015 (Repost)

Compressed Sensing and its Applications: Second International MATHEON Conference 2015 By Holger Boche
English | PDF,EPUB | 2017 | 402 Pages | ISBN : 331969801X | 15.03 MB

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.