A new principle for choosing regularization parameter in certain inverse problems
A new parameter choice rule for inverse problems is introduced. This parameter choice rule was developed for total variation regularization in electron tomography and might in general be useful for \(L^1\) regularization of inverse problems with high levels of noise in the data.
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| Veröffentlicht in: | arXiv.org 2008-04 |
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| Format: | Artikel |
| Sprache: | eng |
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| Online-Zugang: | Volltext |
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| Zusammenfassung: | A new parameter choice rule for inverse problems is introduced. This parameter choice rule was developed for total variation regularization in electron tomography and might in general be useful for \(L^1\) regularization of inverse problems with high levels of noise in the data. |
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| ISSN: | 2331-8422 |