Projected Gradient Descent for Spectral Compressed Sensing via Symmetric Hankel Factorization
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DOI: 10.1109/tsp.2024.3378004
Abstract: Current spectral compressed sensing methods via Hankel matrix completion employ symmetric factorization to demonstrate the low-rank property of the Hankel matrix. However, previous non-convex gradient methods only utilize asymmetric factorization to achieve spectral compressed sensing.… read more here.
Keywords: gradient descent; factorization; hankel; spectral compressed ... See more keywords