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Rank-Constrained Solutions to Linear Matrix Equations Using PowerFactorization
Algorithms to construct/recover low-rank matrices satisfying a set of linear equality constraints have important applications in many signal processing contexts. Recently, theoretical guarantees for minimum-rank matrix recovery have been proven for nuclear norm minimization (NNM), which can be solve...
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| Main Authors: | , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
2009
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC3290097/ https://ncbi.nlm.nih.gov/pubmed/22389578 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1109/LSP.2009.2018223 |
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