Optical time-series signals classification based on data augmentation for small sample

被引：1

作者：

Xuezhi ZHANG ^{[1
,2
,3
]}

Haonan SUN ^{[1
,2
,3
]}

Junfeng JIANG ^{[1
,2
,3
]}

Kun LIU ^{[1
,2
,3
]}

Zeyu LI ^{[1
,2
,3
]}

Jiahang JIN ^{[1
,2
,3
]}

Wenxin BO ^{[1
,2
,3
]}

Yin YU ^{[1
,2
,3
]}

Tiegen LIU ^{[1
,2
,3
]}

机构：

[1] School of Precision Instrument and Opto-Electronics Engineering, Tianjin University

[2] Tianjin Optical Fiber Sensing Engineering Center, Institute of Optical Fiber Sensing of Tianjin University

[3] Key Laboratory of Opto-Electronics Information Technology (Tianjin University), Ministry of Education

来源：

Science China(Information Sciences) | 2022年 / 65卷 / 12期

基金：

中国国家自然科学基金;

关键词：

D O I：

暂无

中图分类号：

O43 [光学]; O211.61 [平稳过程与二阶矩过程];

学科分类号：

020208 ; 070103 ; 070207 ; 0714 ; 0803 ;

摘要：

Dear editor,The analysis of captured 1D time-series sequences has been a challenge in engineering research such as sensing for a long time. 1D time series often exhibit more abstract and complex characteristics in engineering. For example, continuous or pulsed ultrasound is often used in ultrasonic detection [1]to transmit and receive energy in the medium to assess the location of damage or the degree of wear in the workpiece to be measured.

引用

页码：321 / 322

页数：2

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