Title :
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
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;
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
DOI :
10.1109/ICCIS.2008.4670753
