Work

Signal Restoration Combining Modified Tikhonov Regularization and Preconditioning Technology

Year: 2017

Type: article

Abstract: The purpose of signal restoration is to acquire a clean signal from the degraded signal which contains blur and noise. In this paper, a modified Tikhonov regularization method based on the standard Tikhonov regularization matrix is proposed, and the corresponding preconditioner is designed to accelerate the convergence of the proposed algorithm. The proposed method shows the best performance than several competitive methods. In addition, the convergence speed is improved significantly.

Source: IEEE Access

DOI: 10.1109/access.2017.2767702

Authors: Hong-Xia Dou, Hou-Biao Li, Qing-Yu Fan, Yi-Cheng Chen

Institutions: University of Electronic Science and Technology of China, Lehigh University

Language: English

Topic: Numerical methods in inverse problems

Subfield: Mathematical Physics

Field: Mathematics

Domain: Physical Sciences

Open Access status: gold

Estimated APC paid: $2,075

Funders: National Natural Science Foundation of China, Fundamental Research Funds for the Central Universities