mlsanityData to 14 Oct 2026

New Conditions for Sparse Phase Retrieval

arXiv 1310.1351 ↗First posted 4 Oct 2013cs.IT cs.NA math.ITcited by 1

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Abstract (arXiv)

We consider the problem of sparse phase retrieval, where a k-sparse signal bf x ∈ mathbb Rn textrm (or mathbb Cntextrm) is measured as bf y = |bf Ax|, where bf A ∈ mathbb Rm × n textrm (or mathbb Cm × ntextrm respectively) is a measurement matrix and |·| is the element-wise absolute value. For a real signal and a real measurement matrix bf A, we show that m = 2k measurements are necessary and sufficient to recover bf x uniquely. For complex signal bf x ∈ mathbb Cn and bf A ∈ mathbb Cm × n, we show that m = 4k-2 phaseless measurements are sufficient to recover bf x. It is known that the multiplying constant 4 in m = 4k-2 cannot be improved.

Key facts. Cited by 1 paper in the map (data through 14 Oct 2026). First posted on arXiv 4 Oct 2013.

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