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

Biology

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