Application of ::::l::::p-regularized least squares for 0 <= p <= 1 in estimating discrete spectrum models from sparse frequency measurements

Mu-Hsin Wei, James H. McClellan, Waymond R. Scott. Application of ::::l::::p-regularized least squares for 0 <= p <= 1 in estimating discrete spectrum models from sparse frequency measurements. In Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2010, 14-19 March 2010, Sheraton Dallas Hotel, Dallas, Texas, USA. pages 4010-4013, IEEE, 2010. [doi]

@inproceedings{WeiMS10,
  title = {Application of ::::l::::p-regularized least squares for 0 <= p <= 1 in estimating discrete spectrum models from sparse frequency measurements},
  author = {Mu-Hsin Wei and James H. McClellan and Waymond R. Scott},
  year = {2010},
  doi = {10.1109/ICASSP.2010.5495769},
  url = {http://dx.doi.org/10.1109/ICASSP.2010.5495769},
  researchr = {https://researchr.org/publication/WeiMS10},
  cites = {0},
  citedby = {0},
  pages = {4010-4013},
  booktitle = {Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2010, 14-19 March 2010, Sheraton Dallas Hotel, Dallas, Texas, USA},
  publisher = {IEEE},
  isbn = {978-1-4244-4296-6},
}