A numerical implementation of gridless compressed sensing

@article{Panahi2015ANI,
  title={A numerical implementation of gridless compressed sensing},
  author={Ashkan Panahi and Mats Viberg and Babak Hassibi},
  journal={2015 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)},
  year={2015},
  pages={3342-3346}
}
Atomic norm denoising has been recently introduced as a generalization of the Least Absolute Shrinkage and Selection Operator (LASSO) to overcome the problem of off-grid parameters. The method has been found to possess many interesting theoretical properties. However, its implementation has been only discussed in a special case of spectral line estimation by uniform sampling. In this paper, we propose a general numerical method to solve the atomic norm denoising problem. The complexity of the… CONTINUE READING