Recovering Data with Group Sparsity by Alternating Direction Methods

Recovering Data with Group Sparsity by Alternating Direction Methods

Group sparsity reveals underlying sparsity patterns and contains rich structural information in data. Hence, exploiting group sparsity will facilitate more efficient techniques for recovering large and complicated data in applications such as compressive sensing, statistics, signal and image process...

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Bibliographic Details
Main Author: Deng, Wei
Other Authors: Zhang, Yin
Format: Others
Language:English
Published: 2012
Subjects:
group sparsity
alternating direction method
augmented Lagrangian
compressive sensing
group Lasso
joint sparsity
Online Access:http://hdl.handle.net/1911/64676

Internet

http://hdl.handle.net/1911/64676

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