Matches in SemOpenAlex for { <https://semopenalex.org/work/W1628160837> ?p ?o ?g. }
- W1628160837 abstract "Recently, cite{CRT,DonohoPol} theoretically analyzed the success of a polynomial $ell_1$-optimization algorithm in solving an under-determined system of linear equations. In a large dimensional and statistical context cite{CRT,DonohoPol} proved that if the number of equations (measurements in the compressed sensing terminology) in the system is proportional to the length of the unknown vector then there is a sparsity (number of non-zero elements of the unknown vector) also proportional to the length of the unknown vector such that $ell_1$-optimization succeeds in solving the system. In this paper, we provide an alternative performance analysis of $ell_1$-optimization and obtain the proportionality constants that in certain cases match or improve on the best currently known ones from cite{DonohoPol,DT}." @default.
- W1628160837 created "2016-06-24" @default.
- W1628160837 creator A5065505687 @default.
- W1628160837 date "2009-07-21" @default.
- W1628160837 modified "2023-09-27" @default.
- W1628160837 title "Various thresholds for $ell_1$-optimization in compressed sensing" @default.
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