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...
| Publicado en: | Scientific World Journal pp. 852978 - 852979 |
|---|---|
| Autores principales: | , , |
| Formato: | research Journal Article |
| Publicado: |
Wiley-Blackwell
2014
|
| Acceso en línea: | Ver este registro en EBSCOhost |