A Convex Optimization Algorithm for Compressed Sensing in a Complex Domain: The Complex-Valued Split Bregman Method

The Split Bregman method (SBM), a popular and universal CS reconstruction algorithm for inverse problems with both l(1)-norm and TV-norm regularization, has been extensively applied in complex domains through the complex-to-real transforming technique, e.g., MRI imaging and radar. However, SBM still...

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Detalles Bibliográficos
Autores principales: Xiong, Kai, Zhao, Guanghui, Shi, Guangming, Wang, Yingbin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6832202/
https://www.ncbi.nlm.nih.gov/pubmed/31635423
http://dx.doi.org/10.3390/s19204540

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6832202/
https://www.ncbi.nlm.nih.gov/pubmed/31635423
http://dx.doi.org/10.3390/s19204540

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