Robust Harmonic Retrieval via Block Successive Upper-Bound Minimization


Robust Harmonic Retrieval via Block Successive Upper-Bound Minimization is a scholarly work, published in 2018 in ''IEEE Transactions on Signal Processing''. The main subjects of the publication include outlier, overtone, upper and lower bounds, Gaussian noise, noise, Gaussian, computer science, Adaptive filter, Speech enhancement, mathematical optimization, biological function, minification, mathematics, and algorithm. The authors prove that under the single-tone case, BSUM-RELAX converges to a Karush-Kuhn-Tucker point.

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