Minimum noiseless description length (MNDL) based regularization parameter selection

Abstract

The l<sub>p</sub>-norm regularized least square technique has been effectively exploited for sparse reconstruction problems. However, the choice of an optimum regularization parameter in the optimization routine still remains a challenge. In this paper we propose a new criterion which is based on MNDL, a new method for optimum subspace selection in data… (More)
DOI: 10.1109/ISSPA.2012.6310502

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