Iterative Reweighted l 1 Penalty Regression Approach for Line Spectral Estimation

@inproceedings{Ye2018IterativeRL,
  title={Iterative Reweighted l 1 Penalty Regression Approach for Line Spectral Estimation},
  author={Fei Ye and Xian Zheng Luo and Wanzhou Ye},
  year={2018}
}
In this paper, we proposed an iterative reweighted l1 penalty regression approach to solve the line spectral estimation problem. In each iteration process, we first use the ideal of Bayesian lasso to update the sparse vectors; the derivative of the penalty function forms the regularization parameter. We choose the anti-trigonometric function as a penalty function to approximate the l0  norm. Then we use the gradient descent method to update the dictionary parameters. The theoretical… CONTINUE READING

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