MAP Support Detection for Greedy Sparse Signal Recovery Algorithms in Compressive Sensing

5 Aug 2015Namyoon Lee

A reliable support detection is essential for a greedy algorithm to reconstruct a sparse signal accurately from compressed and noisy measurements. This paper proposes a novel support detection method for greedy algorithms, which is referred to as "\textit{maximum a posteriori (MAP) support detection}"... (read more)

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