Stable and robust l_p-constrained compressive sensing recovery via robust width property
J. Korean Math. Soc.
Published online 2019 Feb 12
Jun Yu, and Zhiyong Zhou
Umea University
Abstract : We study the recovery results of $\ell_p$-constrained compressive sensing (CS) with $p\geq 1$ via robust width property and determine conditions on the number of measurements for standard Gaussian matrices under which the property holds with high probability. Our paper extends the existing results in Cahill and Mixon (2014) from $\ell_2$-constrained CS to $\ell_p$-constrained case with $p\geq 1$ and complements the recovery analysis for robust CS with $\ell_p$ loss function.
Keywords : Compressive sensing; Robust width property; Robust null space property; Restricted isometry property.
MSC numbers : 94A12; 94A20
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