Gradient Projection with Approximate L(0) 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 L(1) norm algorithm...

Descripción completa

Detalles Bibliográficos
Autores principales: Wei, Ziran, Zhang, Jianlin, Xu, Zhiyong, Huang, Yongmei, Liu, Yong, Fan, Xiangsuo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2018
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6210964/
https://www.ncbi.nlm.nih.gov/pubmed/30304858
http://dx.doi.org/10.3390/s18103373

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6210964/
https://www.ncbi.nlm.nih.gov/pubmed/30304858
http://dx.doi.org/10.3390/s18103373

Ejemplares similares