Simultaneous Block-Sparse Signal Recovery Using Pattern-Coupled Sparse Bayesian Learning

6 Nov 2017Hang XiaoZhengli XingLinxiao YangJun FangYanlun Wu

In this paper, we consider the block-sparse signals recovery problem in the context of multiple measurement vectors (MMV) with common row sparsity patterns. We develop a new method for recovery of common row sparsity MMV signals, where a pattern-coupled hierarchical Gaussian prior model is introduced to characterize both the block-sparsity of the coefficients and the statistical dependency between neighboring coefficients of the common row sparsity MMV signals... (read more)

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