Entropic Proximal Operators for Nonnegative Trigonometric Polynomials.

IEEE Transactions on Signal Processing(2018)

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摘要
Signal processing applications of semidefinite optimization are often rooted in sum-of-squares representations of nonnegative trigonometric polynomials. Interior-point solvers for semidefinite optimization can handle constraints of this form with a per-iteration-complexity that is cubic in the degree of the trigonometric polynomial. The purpose of this paper is to discuss first-order methods with ...
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关键词
Signal processing algorithms,Entropy,Convex functions,Complexity theory,Gradient methods,Signal processing
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