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Sparse Adaptive Iteratively-Weighted Thresholding Algorithm (SAITA) for [Formula: see text]-Regularization Using the Multiple Sub-Dictionary Representation
Both [Formula: see text] and [Formula: see text] are two typical non-convex regularizations of [Formula: see text] ([Formula: see text]), which can be employed to obtain a sparser solution than the [Formula: see text] regularization. Recently, the multiple-state sparse transformation strategy has be...
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| 出版年: | Sensors (Basel) |
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| 主要な著者: | , , , , , , , , |
| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
MDPI
2017
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| 主題: | |
| オンライン･アクセス: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5751088/ https://ncbi.nlm.nih.gov/pubmed/29244777 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/s17122920 |
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