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Hierarchical Bayesian Approach For Jointly-Sparse Solution Of Multiple-Measurement Vectors
It is well-known that many signals of interest can be well-estimated via just a small number of supports under some specific basis. Here, we consider finding sparse solution for Multiple Measurement Vectors (MMVs) in case of having both jointly sparse and clumpy structure. Most of the previous work...
Tallennettuna:
| Julkaisussa: | Conf Rec Asilomar Conf Signals Syst Comput |
|---|---|
| Päätekijät: | , , |
| Aineistotyyppi: | Artigo |
| Kieli: | Inglês |
| Julkaistu: |
2015
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| Aiheet: | |
| Linkit: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5667949/ https://ncbi.nlm.nih.gov/pubmed/29104413 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1109/ACSSC.2014.7094813 |
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