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Monotone FISTA with Variable Acceleration for Compressed Sensing Magnetic Resonance Imaging
An improvement of the monotone fast iterative shrinkage-thresholding algorithm (MFISTA) for faster convergence is proposed. Our motivation is to reduce the reconstruction time of compressed sensing problems in magnetic resonance imaging. The proposed modification introduces an extra term, which is a...
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| 出版年: | IEEE Trans Comput Imaging |
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| 主要な著者: | , , , |
| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
2018
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| 主題: | |
| オンライン･アクセス: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6457269/ https://ncbi.nlm.nih.gov/pubmed/30984801 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1109/TCI.2018.2882681 |
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