Are good local minima wide in sparse recovery?

21 Jun 2018Michael MoellerOtmar LoffeldJuergen GallFelix Krahmer

The idea of compressed sensing is to exploit representations in suitable (overcomplete) dictionaries that allow to recover signals far beyond the Nyquist rate provided that they admit a sparse representation in the respective dictionary. The latter gives rise to the sparse recovery problem of finding the best sparse linear approximation of given data in a given generating system... (read more)

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