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Published in 2021 at "IEEE Signal Processing Letters"
DOI: 10.1109/lsp.2020.3045343
Abstract: Atomic norm minimization is a convex optimization framework to recover point sources from a subset of their low-pass observations, or equivalently the underlying frequencies of a spectrally-sparse signal. When the amplitudes of the sources are…
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Keywords:
compressed super;
super resolution;
positive sources;
resolution positive ... See more keywords