The Benefits of Cyclic Refinement Steps of Two-Dimensional Multi-Snapshot Newtonized Orthogonal Matching Pursuit Algorithm
In this paper, the benefits of cyclic refinement steps of two-dimensional multi-snapshot Newtonized orthogonal matching pursuit (2D-MNOMP) algorithm are analyzed. The empirical rate of convergence gets faster as a result of cyclic refinement steps. Besides, the estimation performance of 2D-MNOMP also gets better for the existence of cyclic refinement steps.
Authors
- Lin Han (ORCID: https://orcid.org/0000-0003-0526-4112)
- Li Chen (ORCID: https://orcid.org/0000-0001-5481-9749)
- Xian Zhu (ORCID: https://orcid.org/0009-0007-9832-3471)
- Renqi Fu
- Zheng Wang (ORCID: https://orcid.org/0000-0001-5064-5032)
- Kaiyu Shentu
Institutions
- Hangzhou Institute of Applied Acoustics (CN)
Publication Details
- Published
- 2024-09-20
- DOI
- https://doi.org/10.1109/itnec60942.2024.10733104
- Primary Topic
- Advanced Algorithms and Applications
- Type
- article
- Field-Weighted Citation Impact
- 0.00