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  • A KST framework for correlation network construction from time series signals

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    Zhang164573.pdf (284.3Kb)
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    Accepted Manuscript (AM)
    Author(s)
    Qi, JP
    Gu, Q
    Zhu, Y
    Zhang, P
    Griffith University Author(s)
    Zhang, Ping
    Year published
    2018
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    Abstract
    A KST (Kolmogorov-Smirnov test and T statistic) method is used for construction of a correlation network based on the fluctuation of each time series within the multivariate time signals. In this method, each time series is divided equally into multiple segments, and the maximal data fluctuation in each segment is calculated by a KST change detection procedure. Connections between each time series are derived from the data fluctuation matrix, and are used for construction of the fluctuation correlation network (FCN). The method was tested with synthetic simulations and the result was compared with those from using KS or T ...
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    A KST (Kolmogorov-Smirnov test and T statistic) method is used for construction of a correlation network based on the fluctuation of each time series within the multivariate time signals. In this method, each time series is divided equally into multiple segments, and the maximal data fluctuation in each segment is calculated by a KST change detection procedure. Connections between each time series are derived from the data fluctuation matrix, and are used for construction of the fluctuation correlation network (FCN). The method was tested with synthetic simulations and the result was compared with those from using KS or T only for detection of data fluctuation. The novelty of this study is that the correlation analyses was based on the data fluctuation in each segment of each time series rather than on the original time signals, which would be more meaningful for many real world applications and for analysis of large-scale time signals where prior knowledge is uncertain.
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    Conference Title
    Proceedings of SPIE - The International Society for Optical Engineering
    Volume
    10615
    DOI
    https://doi.org/10.1117/12.2303598
    Copyright Statement
    © 2018 Society of Photo-Optical Instrumentation Engineers. One print or electronic copy may be made for personal use only. Systematic reproduction and distribution, duplication of any material in this paper for a fee or for commercial purposes, or modification of the content of the paper are prohibited.
    Subject
    Atomic, molecular and optical physics not elsewhere classified
    Signal processing
    Publication URI
    http://hdl.handle.net/10072/383215
    Collection
    • Conference outputs

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