Smoothing Strategy Along with Conjugate Gradient Algorithm for Signal Reconstruction

Caiying Wu, Jing Wang, Jan Harold Alcantara, Jein Shan Chen

研究成果: 雜誌貢獻期刊論文同行評審

摘要

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.

原文英語
文章編號21
期刊Journal of Scientific Computing
87
發行號1
DOIs
出版狀態已發佈 - 2021 四月

ASJC Scopus subject areas

  • 軟體
  • 理論電腦科學
  • 數值分析
  • 工程 (全部)
  • 計算機理論與數學
  • 計算數學
  • 應用數學

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