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In the framework of Compressive Sensing (CS), the inherent structures underlying sparsity patterns can be exploited to promote the reconstruction accuracy and robustness. And this consideration results in a new extension for CS, called model based CS. In this paper, we propose a general statistical framework for model based CS, where both sparsity and structure priors are considered simultaneously...
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