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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...
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| Main Authors: | , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Hindawi Publishing Corporation
2014
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4122105/ https://ncbi.nlm.nih.gov/pubmed/25126605 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1155/2014/852978 |
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