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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...
Gardado en:
| Publicado en: | Entropy (Basel) |
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| Main Authors: | , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado: |
MDPI
2018
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| Assuntos: | |
| Acceso en liña: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7512773/ https://ncbi.nlm.nih.gov/pubmed/33265349 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/e20040258 |
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