Gradient Projection with Approximate L0 Norm Minimization for Sparse Reconstruction in Compressed Sensing

Gradient Projection with Approximate L0 Norm Minimization for Sparse Reconstruction in Compressed Sensing

In the reconstruction of sparse signals in compressed sensing, the reconstruction algorithm is required to reconstruct the sparsest form of signal. In order to minimize the objective function, minimal norm algorithm and greedy pursuit algorithm are most commonly used. The minimum L1 norm algorithm h...

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Bibliographic Details
Main Authors: Ziran Wei, Jianlin Zhang, Zhiyong Xu, Yongmei Huang, Yong Liu, Xiangsuo Fan
Format: Article
Language:English
Published: MDPI AG 2018-10-01
Series:Sensors
Subjects:
compressed sensing
convex optimization
L0 norm
gradient projection
sparse reconstruction
Online Access:http://www.mdpi.com/1424-8220/18/10/3373

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http://www.mdpi.com/1424-8220/18/10/3373

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