Sparsity Within and Across Overlapping Groups

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 penalty function on a simple linear inverse problem.