Information Geometry for Covariance Estimation in Heterogeneous Clutter with Total Bregman Divergence

This paper presents a covariance matrix estimation method based on information geometry in a heterogeneous clutter. In particular, the problem of covariance estimation is reformulated as the computation of geometric median for covariance matrices estimated by the secondary data set. A new class of t...

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Detalles Bibliográficos
Autores principales: Hua, Xiaoqiang, Cheng, Yongqiang, Wang, Hongqiang, Qin, Yuliang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2018
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7512773/
https://www.ncbi.nlm.nih.gov/pubmed/33265349
http://dx.doi.org/10.3390/e20040258

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7512773/
https://www.ncbi.nlm.nih.gov/pubmed/33265349
http://dx.doi.org/10.3390/e20040258

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