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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...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Public Library of Science
2020
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| Materias: | |
| 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 |