Phase Retrieval using Alternating Minimization
–Neural Information Processing Systems
Phase retrieval problems involve solving linear equations, but with missing sign (or phase, for complex numbers). Over the last two decades, a popular generic empirical approach to the many variants of this problem has been one of alternating minimization; i.e. alternating between estimating the missing phase information, and the candidate solution.
Neural Information Processing Systems
Mar-13-2024, 15:20:22 GMT
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