QTFN: A General End-to-End Time-Frequency Network to Reveal the Time-Varying Signatures of the Time Series
Nonstationary time series are ubiquitous in almost all natural and engineering systems. Capturing the time-varying signatures from nonstationary time series is still a challenging problem for data mining. Quadratic Time-Frequency Distribution (TFD) provides a powerful tool to analyze these data. How...
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Main Authors: | , , , |
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Format: | Article |
Language: | English |
Published: |
Tsinghua University Press
2024-09-01
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Series: | Big Data Mining and Analytics |
Subjects: | |
Online Access: | https://www.sciopen.com/article/10.26599/BDMA.2024.9020031 |
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