# A compact formulation for the l21 mixed-norm minimization problem

@article{Steffens2017ACF,
title={A compact formulation for the l21 mixed-norm minimization problem},
author={C. Steffens and M. Pesavento and M. Pfetsch},
journal={2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)},
year={2017},
pages={4730-4734}
}
• Published 2017
• Mathematics, Computer Science
• 2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
We present an equivalent, compact reformulation of the ℓ2,1 mixed-norm minimization problem for joint sparse signal reconstruction from multiple measurement vectors (MMVs). The reformulation builds upon a compact parameterization, which models the row-norms of the sparse signal representation as parameters of interest, resulting in a significant reduction of the MMV problem size. Given the sparse vector of row-norms, the joint sparse signal can be computed from the MMVs in closed form. For the… Expand
29 Citations

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