Negentropy-Based Sparsity-Promoting Reconstruction with Fast Iterative Solution from Noisy Measurements

Compressed sensing provides an elegant framework for recovering sparse signals from compressed measurements. This paper addresses the problem of sparse signal reconstruction from compressed measurements that is more robust to complex, especially non-Gaussian noise, which arises in many applications....

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Detalles Bibliográficos
Autores principales: Zhao, Yingxin, Huang, Yingjie, Wu, Hong, Zhang, Ming, Liu, Zhiyang, Ding, Shuxue
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7570592/
https://www.ncbi.nlm.nih.gov/pubmed/32962241
http://dx.doi.org/10.3390/s20185384

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7570592/
https://www.ncbi.nlm.nih.gov/pubmed/32962241
http://dx.doi.org/10.3390/s20185384

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