Improved complete ensemble empirical mode decomposition with adaptive noise and composite multiscale permutation entropy for denoising blast vibration signal Article Swipe

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Y.E. Kang , Yingkang Yao , Run-Long Dong , Yongsheng Jia , Quanmin Xie , Jianning Wang ·

YOU? · · 2024 · Open Access · · DOI: https://doi.org/10.1016/j.heliyon.2024.e37339

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Hilbert–Huang transform Vibration Noise reduction Mode (computer interface) Noise (video) Entropy (arrow of time) Computer science Pattern recognition (psychology) Acoustics Algorithm Mathematics Statistical physics Artificial intelligence Physics White noise Statistics Thermodynamics Operating system Image (mathematics)

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Type: article
Language: en
Landing Page: https://doi.org/10.1016/j.heliyon.2024.e37339
OA Status: gold
Cited By: 8
References: 40
Related Works: 10
OpenAlex ID: https://openalex.org/W4402280224

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DOI: https://doi.org/10.1016/j.heliyon.2024.e37339

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Title: Improved complete ensemble empirical mode decomposition with adaptive noise and composite multiscale permutation entropy for denoising blast vibration signal

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Language: en

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Publication year: 2024

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Publication date: 2024-09-01

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Authors: Y.E. Kang, Yingkang Yao, Run-Long Dong, Yongsheng Jia, Quanmin Xie, Jianning Wang

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Landing page: https://doi.org/10.1016/j.heliyon.2024.e37339

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Concepts: Hilbert–Huang transform, Vibration, Noise reduction, Mode (computer interface), Noise (video), Entropy (arrow of time), Computer science, Pattern recognition (psychology), Acoustics, Algorithm, Mathematics, Statistical physics, Artificial intelligence, Physics, White noise, Statistics, Thermodynamics, Operating system, Image (mathematics)

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Cited by: 8

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