Compressive sensing over strongly connected digraph and its application in traffic monitoring

@article{Qi2014CompressiveSO,
  title={Compressive sensing over strongly connected digraph and its application in traffic monitoring},
  author={Xiao Qi and Yongcai Wang and Yuexuan Wang and Liwen Xu},
  journal={IEEE INFOCOM 2014 - IEEE Conference on Computer Communications},
  year={2014},
  pages={1222-1230}
}
Compressive sensing over graphs has recently attracted great research attentions, which takes limited number end-to-end measurements along paths (walks) to recover sparse vectors representing link/node properties. Unlike traditional compressive sensing, the along-path measurements rule out the freedom of random sampling, which introduces path constraints to the measurement matrix. The constraint makes explicit analysis of recovery performance difficult Only for undirected graphs, early results… CONTINUE READING
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