Improved interpolation method based on singular spectrum analysis iteration and its application to missing data recovery

被引：13

作者：

Wang Hui-zan ^{[1
,2
,3
]}

Zhang Ren ^{[1
,2
]}

Liu Wei ^{[4
]}

Wang Gui-hua ^{[3
]}

Jin Bao-gang ^{[1
,3
]}

机构：

[1] PLA Univ Sci & Technol, Inst Meteorol, Nanjing 211101, Peoples R China

[2] Chinese Acad Sci, Inst Atmospher Phys, LASG, Beijing 100029, Peoples R China

[3] State Ocean Adm, Inst Oceanog 2, Hangzhou 310012, Zhejiang, Peoples R China

[4] SW Jiaotong Univ, Sch Informat Sci & Technol, Chengdu 610031, Peoples R China

来源：

APPLIED MATHEMATICS AND MECHANICS-ENGLISH EDITION | 2008年 / 29卷 / 10期

关键词：

singular spectrum analysis; outgoing longwave radiation; interpolation of missing data; interval quartering algorithm;

D O I：

10.1007/s10483-008-1010-x

中图分类号：

O29 [应用数学];

学科分类号：

070104 ;

摘要：

A novel interval quartering algorithm (IQA) is proposed to overcome insufficiency of the conventional singular spectrum analysis (SSA) iterative interpolation for selecting parameters including the number of the principal components and the embedding dimension. Based on the improved SSA iterative interpolation, interpolated test and comparative analysis are carried out to the outgoing longwave radiation daily data. The results show that IQA can find globally optimal parameters to the error curve with local oscillation, and has advantage-of fast computing speed. The improved interpolation method is effective in the interpolation of missing data.

引用

页码：1351 / 1361

页数：11

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