Sparse Bayesian Learning for non-Gaussian sources
نویسندگان
چکیده
منابع مشابه
On the Support Recovery of Jointly Sparse Gaussian Sources using Sparse Bayesian Learning
Abstract—In this work, we provide non-asymptotic, probabilistic guarantees for successful sparse support recovery by the multiple sparse Bayesian learning (M-SBL) algorithm in the multiple measurement vector (MMV) framework. For joint sparse Gaussian sources, we show that M-SBL perfectly recovers their common nonzero support with arbitrarily high probability using only finitely many MMVs. In fa...
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ژورنال
عنوان ژورنال: Digital Signal Processing
سال: 2015
ISSN: 1051-2004
DOI: 10.1016/j.dsp.2015.06.014