计算机应用与软件2017，Vol.34Issue(9)：322-327,6.DOI:10.3969/j.issn.1000-386x.2017.09.063
一种利用低秩矩阵填充技术恢复气象数据的方法
METHOD OF RESTORING METEOROLOGICAL DATA USING LOW-RANK MATRIX FILLING TECHNIQUE
臧芳1
作者信息
- 1. 湖南大学信息科学与工程学院 湖南长沙410012;湖南电子科技职业学院机械与电子信息工程分院 湖南长沙410205
- 折叠
摘要
Abstract
Matrix filling is another attractive new research field after compressive sensing.It has been applied in the fields of science and engineering.Matrix filling principally studies how to restore the whole matrix elements by the known partial matrix elements.The meteorological data have the spatial correlation,time stability,and low rank of meteorological data matrix.All these advantages provide the continuous acquisition of meteorological data for researching how to use the low rank matrix filling technique.Finally,the simulation experiments are performed by real weather data,and the effectiveness of the method is proved.关键词
低秩性/气象数据/矩阵填充/气象预测Key words
Low-rank/Meteorological data/Matrix filling/Meteorological forecast分类
信息技术与安全科学引用本文复制引用
臧芳..一种利用低秩矩阵填充技术恢复气象数据的方法[J].计算机应用与软件,2017,34(9):322-327,6.
