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cs.IT2020
Keep the phase! Signal recovery in phase-only compressive sensing
Laurent Jacques, Thomas Feuillen
We demonstrate that a sparse signal can be estimated from the phase of complex random measurements, in a "phase-only compressive sensing" (PO-CS) scenario. With high probability an…
cs.IT2020
The importance of phase in complex compressive sensing
Laurent Jacques, Thomas Feuillen
We consider the question of estimating a real low-complexity signal (such as a sparse vector or a low-rank matrix) from the phase of complex random measurements. We show that in th…