An optimized atmospheric missed data recovery algorithm based on singular spectrum iteration

Author

Wei, Liu ; Weidong, Jin ; Huizan, Wang ; Ren, Zhang

Author_Institution

Sch. of Inf. Sci. & Technol., Southwest Jiaotong Univ., Chengdu

fYear

2008

fDate

21-24 Sept. 2008

Firstpage

1129

Lastpage

1132

Abstract

A new idea of interval quartering algorithm was proposed to improve the insufficiency of the conventional singular spectrum analysis iterative interpolation on parameter selection (including the number K of principal component and the embedding dimension M), and the applied test and comparative analysis recovery was carried out to the missing data. The experimental results showed that the improved method is very effective to the interpolation of missing data, and the computing speed of the improved algorithm is more rapid than that of conventional algorithm.

Keywords

data analysis; interpolation; iterative methods; principal component analysis; comparative analysis recovery; interval quartering algorithm; optimized atmospheric missed data recovery algorithm; parameter selection; singular spectrum analysis iterative interpolation; singular spectrum iteration; Algorithm design and analysis; Filtering; Information science; Interpolation; Iterative algorithms; Optimization methods; Performance analysis; Space technology; Statistical analysis; Time series analysis; Interpolation of missed data: Interval Quartering Algorithm; Singular Spectrum Analysis;

fLanguage

English

Publisher

ieee

Conference_Titel

Cybernetics and Intelligent Systems, 2008 IEEE Conference on

Conference_Location

Chengdu

Print_ISBN

978-1-4244-1673-8

Electronic_ISBN

978-1-4244-1674-5

Type

conf

DOI

10.1109/ICCIS.2008.4670753

Filename

4670753