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Study of Track Irregularity Time Series Calibration and Variation Pattern at Unit Section
Joint Authors
Yang, Jiulin
Wang, Hanning
Wei, Lili
Jia, Chaolong
Source
Computational Intelligence and Neuroscience
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-14, 14 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-12-01
Country of Publication
Egypt
No. of Pages
14
Main Subjects
Abstract EN
Focusing on problems existing in track irregularity time series data quality, this paper first presents abnormal data identification, data offset correction algorithm, local outlier data identification, and noise cancellation algorithms.
And then proposes track irregularity time series decomposition and reconstruction through the wavelet decomposition and reconstruction approach.
Finally, the patterns and features of track irregularity standard deviation data sequence in unit sections are studied, and the changing trend of track irregularity time series is discovered and described.
American Psychological Association (APA)
Jia, Chaolong& Wei, Lili& Wang, Hanning& Yang, Jiulin. 2014. Study of Track Irregularity Time Series Calibration and Variation Pattern at Unit Section. Computational Intelligence and Neuroscience،Vol. 2014, no. 2014, pp.1-14.
https://search.emarefa.net/detail/BIM-1016743
Modern Language Association (MLA)
Jia, Chaolong…[et al.]. Study of Track Irregularity Time Series Calibration and Variation Pattern at Unit Section. Computational Intelligence and Neuroscience No. 2014 (2014), pp.1-14.
https://search.emarefa.net/detail/BIM-1016743
American Medical Association (AMA)
Jia, Chaolong& Wei, Lili& Wang, Hanning& Yang, Jiulin. Study of Track Irregularity Time Series Calibration and Variation Pattern at Unit Section. Computational Intelligence and Neuroscience. 2014. Vol. 2014, no. 2014, pp.1-14.
https://search.emarefa.net/detail/BIM-1016743
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1016743