A comparative study on apen, sampen and their fuzzy counterparts in a multiscale framework for feature extraction

DOI10.1631/jzus.A0900360zbMath1402.94037OpenAlexW2155464739MaRDI QIDQ1956440

He-Sheng Liu, Wei-Zhong Guo, Guo-Liang Xiong, Long Zhang, Hui-Jun Zou

Publication date: 22 September 2010

Published in: Journal of Zhejiang University. Science A (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1631/jzus.a0900360

zbMATH Keywords

feature extractionfault diagnosismultiscale entropybearingsupport vector machines (SVMs)

Mathematics Subject Classification ID

Signal theory (characterization, reconstruction, filtering, etc.) (94A12)

Related Items (1)

Characterization of complexity in the electroencephalograph activity of Alzheimer's disease based on fuzzy entropy

Cites Work

• Classification of power quality combined disturbances based on phase space reconstruction and support vector machines
• Joint application of feature extraction based on EMD-AR strategy and multi-class classifier based on LS-SVM in EMG motion classification
• Multi-scale entropy analysis of Mississippi river flow
• The effect of time delay on approximate \& sample entropy calculations
• Approximate entropy as a measure of system complexity.

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