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Compressive Sensing Sparse Sampling Method for Composite Material Based on Principal Component Analysis

Sun Yajie Gu Feihong Ji Sai Wang Lihua

南京航空航天大学学报（英文版）2018，Vol.35Issue(2)：282-289,8.

Compressive Sensing Sparse Sampling Method for Composite Material Based on Principal Component Analysis

Sun Yajie ¹Gu Feihong ²Ji Sai ³Wang Lihua³

作者信息

1. Jiangsu Engineering Centre of Network Monitoring,Nanjing University of Information Science and Technology,Nanjing 210044,P.R.China
2. Jiangsu Collaborative Innovation Center on Atmospheric Environment and Equipment Technology, Nanjing University of Information Science and Technology,Nanjing 210044,P.R.China
3. School of Computer and Software,Nanjing University of Information Science and Technology, Nanjing 210044,P.R.China
折叠

摘要

关键词

principal component analysis/compressive sensing/sparse representation/signal reconstruction

Key words

principal component analysis/compressive sensing/sparse representation/signal reconstruction

分类

信息技术与安全科学

引用本文复制引用

Sun Yajie,Gu Feihong,Ji Sai,Wang Lihua..Compressive Sensing Sparse Sampling Method for Composite Material Based on Principal Component Analysis[J].南京航空航天大学学报（英文版）,2018,35(2):282-289,8.

基金项目

This work is supported by the National Natural Sci-ence Foundation of China(Nos.51405241,61672290),and the Jiangsu Government Scholarship for Overseas Studies and the PAPD Fund. （Nos.51405241,61672290）

南京航空航天大学学报（英文版）

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ISSN：1005-1120

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