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Dictionary Learning for Data Recovery in Positron Emission Tomography
Compressed sensing (CS) aims to recover images from fewer measurements than that governed by the Nyquist sampling theorem. Most CS methods use analytical predefined sparsifying domains such as Total variation (TV), wavelets, curvelets, and finite transforms to perform this task. In this study, we ev...
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| Publicado no: | Phys Med Biol |
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| Main Authors: | , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
2015
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4520326/ https://ncbi.nlm.nih.gov/pubmed/26161630 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1088/0031-9155/60/15/5853 |
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