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Outlier correction method of telemetry data based on wavelet transformation and Wright criterion

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Abstract

An outlier revision method is proposed based on Wright criterion, quadratic difference prediction and wavelet transformation. Making use of wavelet transformation, the original telemetry data is decomposed into multi-level detail and approximation components. In detail component of every level, outliers are distinguished by Wright criterion, and which are corrected by quadratic difference prediction method. After wavelet reconstruction, the revised data will be obtained. This method not only can revise the outliers effectively, but also can reserve the key information in original data. Finally, this method has been proved efficacious and feasible for revising the outliers of telemetry data.

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Acknowledgements

This work is supported by the National Natural Science Foundation (NNSF) of People’s Republic of China (Grant No. 5127549).

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Authors and Affiliations

  1. Key Laboratory of Instrumentation Science & Dynamic Measurement, Ministry of Education, Science and Technology on Electronic Test & Measurement Laboratory, North University of China, Taiyuan, 030051, China

    Zhigang Ma & Wenyi Liu

  2. College of Information Science and Engineering, Shanxi Agricultural University, Taigu, 030801, China

    Zhigang Ma

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  1. Zhigang Ma
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  2. Wenyi Liu
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Correspondence to Wenyi Liu.

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Ma, Z., Liu, W. Outlier correction method of telemetry data based on wavelet transformation and Wright criterion. Multimed Tools Appl 75, 14477–14489 (2016). https://doi.org/10.1007/s11042-015-3241-x

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  • DOI: https://doi.org/10.1007/s11042-015-3241-x

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