Denoising of an ultraviolet light received signal based on improved wavelet transform threshold and threshold function

被引：19

作者：

Guo, Hua ^{[1
]}

Yue, Leihui ^{[1
]}

Song, Peng ^{[1
]}

Tan, Yumei ^{[1
]}

Zhang, Lijian ^{[1
]}

机构：

[1] Xian Polytech Univ, Sch Elect & Informat, Xian 710048, Peoples R China

来源：

APPLIED OPTICS | 2021年 / 60卷 / 28期

关键词：

COMMUNICATION; REDUCTION;

D O I：

10.1364/AO.437674

中图分类号：

O43 [光学];

学科分类号：

070207 ; 0803 ;

摘要：

In this paper, the wavelet transform algorithm is used to reduce the noise of ultraviolet (UV) light received signals. An improved calculation method of the wavelet thresholds and a new threshold function are proposed. The new threshold function avoids the discontinuity of the traditional hard threshold function. It can also avoid the constant deviation caused by the traditional soft threshold function. The improved threshold calculation method takes into account the effect of the wavelet decomposition level, and the simulation results show the effectiveness of the proposed method. Compared with other methods, the method proposed in this paper can obtain abetter denoising effect. (C) 2021 Optical Society of America

引用

页码：8983 / 8990

页数：8

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