Improving Noise Robustness in Subspace-Based Joint Sparse Recovery

@article{Kim2012ImprovingNR,
  title={Improving Noise Robustness in Subspace-Based Joint Sparse Recovery},
  author={Jongmin Kim and Ok Kyun Lee and Jong Chul Ye},
  journal={IEEE Transactions on Signal Processing},
  year={2012},
  volume={60},
  pages={5799-5809}
}
In a multiple measurement vector problem (MMV), where multiple signals share a common sparse support and are sampled by a common sensing matrix, we can expect joint sparsity to enable a further reduction in the number of required measurements. While a diversity gain from joint sparsity had been demonstrated earlier in the case of a convex relaxation method using an l1/ l2 mixed norm penalty, only recently was it shown that similar diversity gain can be achieved by greedy algorithms if we… CONTINUE READING
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