Using Hankel Structured Low-Rank Approximation for Sparse Signal Recovery

Ivan Markovsky, Pier Luigi Dragotti. Using Hankel Structured Low-Rank Approximation for Sparse Signal Recovery. In Yannick Deville, Sharon Gannot, Russell Mason, Mark D. Plumbley, Dominic Ward, editors, Latent Variable Analysis and Signal Separation - 14th International Conference, LVA/ICA 2018, Guildford, UK, July 2-5, 2018, Proceedings. Volume 10891 of Lecture Notes in Computer Science, pages 479-487, Springer, 2018. [doi]

@inproceedings{MarkovskyD18,
  title = {Using Hankel Structured Low-Rank Approximation for Sparse Signal Recovery},
  author = {Ivan Markovsky and Pier Luigi Dragotti},
  year = {2018},
  doi = {10.1007/978-3-319-93764-9_44},
  url = {https://doi.org/10.1007/978-3-319-93764-9_44},
  researchr = {https://researchr.org/publication/MarkovskyD18},
  cites = {0},
  citedby = {0},
  pages = {479-487},
  booktitle = {Latent Variable Analysis and Signal Separation - 14th International Conference, LVA/ICA 2018, Guildford, UK, July 2-5, 2018, Proceedings},
  editor = {Yannick Deville and Sharon Gannot and Russell Mason and Mark D. Plumbley and Dominic Ward},
  volume = {10891},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-3-319-93764-9},
}