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An Analysis Dictionary Learning Algorithm under a Noisy Data Model with Orthogonality Constraint
Two common problems are often encountered in analysis dictionary learning (ADL) algorithms. The first one is that the original clean signals for learning the dictionary are assumed to be known, which otherwise need to be estimated from noisy measurements. This, however, renders a computationally slo...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Hindawi Publishing Corporation
2014
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4122105/ https://www.ncbi.nlm.nih.gov/pubmed/25126605 http://dx.doi.org/10.1155/2014/852978 |