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In this paper, we propose a Bayesian methodology for
receiver function analysis, a key tool in determining the deep structure
of the Earth’s crust.We exploit the assumption of sparsity for
receiver functions to develop a Bayesian deconvolution
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脉冲噪声背景下的联合稀疏恢复方法, 在不同背景下给出了测试结果-presents a robust solution for joint sparse
recovery (JSR) under impulsive noise. The unknown measurement
noise is endowed with the Student-t distribution, then a
novel Bayesian probabilistic model is proposed to
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