Automatic Sampling Time Adaptation for Networked Digital Controller based-on Embedded System
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Publication Details
Author list: Prempreechakun N., Nuratch S., Boonpramuk P.
Publisher: Elsevier
Publication year: 2019
Journal: Journal of Computational and Applied Mathematics (0377-0427)
Volume number: 354
Start page: 159
End page: 162
Number of pages: 4
ISSN: 0377-0427
eISSN: 1879-1778
Languages: English-Great Britain (EN-GB)
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Abstract
In this paper, a new viscosity iterative method minimization algorithm for image restoration algorithm is proposed. Based on a new viscosity iteration, the algorithm for finding the common zeros of two accretive operators in the framework of uniformly smooth Banach spaces. Moreover, the strong convergence theorems for the iterative algorithms and an example is proposed which shows the validity of main theorem are proved. The results of this paper are improved and extended of the corresponding ones announced by many others and we also applied our result to solve a convex minimization problem and Gโteaux differentiable EPs and Variational Inequality. Experiment results show that the proposed algorithms outperform some other methods. Finally, we give the numerical experiments to show the efficiency and advantage of the proposed methods and we also used our proposed algorithm for applying to solve the image deblurring and image recovery problems. ฉ 2018 Elsevier B.V.
Keywords
Common zeros, Douglas–Rachford-algorithm, Forward–backward algorithm
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