Compressed Sensing by Shortest-Solution Guided Decimation

Compressed sensing is an important problem in many fields of science and engineering. It reconstructs signals by finding sparse solutions to underdetermined linear equations. In this paper, we propose a deterministic and non-parametric algorithm, shortest-solution guided decimation (SSD), to constru...

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Bibliographic Details
Published in:	IEEE Access
Main Authors:	Mutian Shen, Pan Zhang, Hai-Jun Zhou
Format:	Article
Language:	English
Published:	IEEE 2018-01-01
Subjects:	Compressed sensing correlated matrix shortest-solution guided decimation (SSD) singular value decomposition sparse representation
Online Access:	https://ieeexplore.ieee.org/document/8262619/

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