Anisotropic Gaussian kernel adaptive filtering by Lie-group dictionary learning

The present paper proposes a novel kernel adaptive filtering algorithm, where each Gaussian kernel is parameterized by a center vector and a symmetric positive definite (SPD) precision matrix, which is regarded as a generalization of scalar width parameter. In fact, different from conventional kerne...

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Detalles Bibliográficos
Autores principales: Wada, Tomoya, Fukumori, Kosuke, Tanaka, Toshihisa, Fiori, Simone
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2020
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7428144/
https://www.ncbi.nlm.nih.gov/pubmed/32797071
http://dx.doi.org/10.1371/journal.pone.0237654

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7428144/
https://www.ncbi.nlm.nih.gov/pubmed/32797071
http://dx.doi.org/10.1371/journal.pone.0237654

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