Approximate Message Passing Algorithm for Nonconvex Regularization

Approximate Message Passing Algorithm for Nonconvex Regularization

In this paper, we study the sparse signal reconstruction with nonconvex regularization, mainly focusing on two popular nonconvex regularization methods, minimax concave penalty (MCP) and smoothly clipped absolute deviation (SCAD). An approximate message passing (AMP) algorithm is an effective method...

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Bibliographic Details
Main Authors: Hui Zhang, Hai Zhang, Yong Liang, Zi-Yi Yang, Yanqiong Ren
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Approximate message passing algorithm
iterative thresholding algorithm
nonconvex regularization
sparsity
variable selection
Online Access:https://ieeexplore.ieee.org/document/8603833/

Internet

https://ieeexplore.ieee.org/document/8603833/

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