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多元时间序列的关联模糊测度用于特征识别。

Correlation Fuzzy measure of multivariate time series for signature recognition.

机构信息

School of Mathematics, Physics and Optical Engineering, Hubei University of Automotive Technology, Shi Yan, CN.

Hubei Key Laboratory of Applied Mathematics, Faculty of Mathematics and Statistics, Hubei University, Wuhan, CN.

出版信息

PLoS One. 2024 Oct 7;19(10):e0309262. doi: 10.1371/journal.pone.0309262. eCollection 2024.

DOI:10.1371/journal.pone.0309262
PMID:39374252
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11457994/
Abstract

Distinguishing different time series, which is determinant or stochastic, is an important task in signal processing. In this work, a correlation measure constructs Correlation Fuzzy Entropy (CFE) to discriminate Chaos and stochastic series. It can be employed to distinguish chaotic signals from ARIMA series with different noises. With specific embedding dimensions, we implemented the CFE features by analyzing two available online signature databases MCYT-100 and SVC2004. The accurate rates of the CFE-based models exceed 99.3%.

摘要

区分不同的时间序列，是决定论的还是随机的，是信号处理中的一项重要任务。在这项工作中，一种相关度量构建了相关模糊熵（CFE）来区分混沌和随机序列。它可以用于区分具有不同噪声的 ARIMA 系列的混沌信号。通过分析两个可用的在线签名数据库 MCYT-100 和 SVC2004，我们使用特定的嵌入维度实现了 CFE 特征。基于 CFE 的模型的准确率超过 99.3%。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/97d6/11457994/b2e1a27e7e99/pone.0309262.g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/97d6/11457994/1e6f43e7f9be/pone.0309262.g001.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/97d6/11457994/108f8f5c408c/pone.0309262.g005.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/97d6/11457994/b2e1a27e7e99/pone.0309262.g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/97d6/11457994/1e6f43e7f9be/pone.0309262.g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/97d6/11457994/856722d82475/pone.0309262.g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/97d6/11457994/12ba3e3feb0d/pone.0309262.g003.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/97d6/11457994/108f8f5c408c/pone.0309262.g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/97d6/11457994/c58b4b583a19/pone.0309262.g006.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/97d6/11457994/b2e1a27e7e99/pone.0309262.g008.jpg

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