Sparse signal recovery via minimax‐concave penalty and ‐norm loss function

In sparse signal recovery, to overcome the ‐norm sparse regularisation's disadvantages tendency of uniformly penalise the signal amplitude and underestimate the high‐amplitude components, a new algorithm based on a non‐convex minimax‐concave penalty is proposed, which can approximate the ‐norm...

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Bibliographic Details
Published in:IET signal processing Vol. 12; no. 9; pp. 1091 - 1098
Main Authors: Sun, Yuli, Chen, Hao, Tao, Jinxu
Format: Journal Article
Language:English
Published: 01.12.2018
ISSN:1751-9675
Online Access:Get full text
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