English

The Dantzig Selector: Sparse Signals Recovery via l_p-q Minimization

Optimization and Control 2024-01-26 v2

Abstract

In the paper, we proposed the Dantzig selector based on the lpql_{p-q} (0<p1,1<q20<p\leq1, 1<q\leq2) minimization for the signal recovery. First, we establish the convex combination representation of sparse vectors under the lpql_{p-q} minimization problem. Next, we give the signal recovery guarantees that based on two classes of restricted isometry property frames. Last, some graphical illustrations are presented for the sufficient conditions of the signal recovery.

Keywords

Cite

@article{arxiv.2309.00895,
  title  = {The Dantzig Selector: Sparse Signals Recovery via l_p-q Minimization},
  author = {Jie Li and Chaohong Deng and Baode Li},
  journal= {arXiv preprint arXiv:2309.00895},
  year   = {2024}
}

Comments

There is error in Lemma 3.1