Smoothing strategy along with conjugate gradient algorithm for signal reconstruction
College
College of Science
Department/Unit
Mathematics and Statistics Department
Document Type
Article
Source Title
Journal of Scientific Computing
Volume
87
Issue
21
Publication Date
2021
Abstract
In this paper, we propose a new smoothing strategy along with conjugate gradient algorithm for the signal reconstruction problem. Theoretically, the proposed conjugate gradient algorithm along with the smoothing functions for the absolute value function is shown to possess some nice properties which guarantee global convergence. Numerical experiments and comparisons suggest that the proposed algorithm is an efficient approach for sparse recovery. Moreover, we demonstrate that the approach has some advantages over some existing solvers for the signal reconstruction problem.
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Recommended Citation
Wu, C., Wang, J., Alcantara, J. M., & Chen, J. (2021). Smoothing strategy along with conjugate gradient algorithm for signal reconstruction. Journal of Scientific Computing, 87 (21) Retrieved from https://animorepository.dlsu.edu.ph/faculty_research/13986
Keywords
Conjugate gradient methods
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