A Regularized Weighted Smoothed L(0) Norm Minimization Method for Underdetermined Blind Source Separation

Compressed sensing (CS) theory has attracted widespread attention in recent years and has been widely used in signal and image processing, such as underdetermined blind source separation (UBSS), magnetic resonance imaging (MRI), etc. As the main link of CS, the goal of sparse signal reconstruction i...

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Detalles Bibliográficos
Autores principales: Wang, Linyu, Yin, Xiangjun, Yue, Huihui, Xiang, Jianhong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2018
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6308515/
https://www.ncbi.nlm.nih.gov/pubmed/30518076
http://dx.doi.org/10.3390/s18124260

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6308515/
https://www.ncbi.nlm.nih.gov/pubmed/30518076
http://dx.doi.org/10.3390/s18124260

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