Sparsity Within and Across Overlapping Groups.

IEEE Signal Processing Letters(2018)

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摘要
Recently, penalty functions promoting signals that are sparse within and across groups have been proposed. In this letter, we propose a modified penalty function that offers additional flexibility in forming groups. We study the properties of the penalty function and propose a new algorithm that can be used in energy minimization formulations that employ it. We demonstrate the effects of using the...
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关键词
Signal processing algorithms,Minimization,Matrix decomposition,Radio frequency,Upper bound,Inverse problems
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