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A platform for research: civil engineering, architecture and urbanism
Hilbert–Huang Transform, Profile, Signal, and Image Analysis
The Hilbert‐Huang transform (HHT) is a very powerful tool for data analysis due to its ability to process nonstationary data. The HHT consists of two key components: empirical mode decomposition (EMD) and Hilbert spectral analysis. The essence of EMD is to decompose different trends or fluctuations contained in the complicated signal gradually through their characteristic scales to obtain a series of data sequences with different intrinsic timescales, that is, the intrinsic mode functions (IMFs). The boundary effect points affect the shape of the spline function. This may lead to different IMFs. The application of the traditional EMD and the Ensemble Empirical Mode Decomposition (EEMD) to profile analysis is based on the assumption that a signal's oscillation is univariate. Axle box acceleration (ABA) measurements measure the vibration of the wheel in the vehicle‐track systems expected during wheel/rail interactions.
Hilbert–Huang Transform, Profile, Signal, and Image Analysis
The Hilbert‐Huang transform (HHT) is a very powerful tool for data analysis due to its ability to process nonstationary data. The HHT consists of two key components: empirical mode decomposition (EMD) and Hilbert spectral analysis. The essence of EMD is to decompose different trends or fluctuations contained in the complicated signal gradually through their characteristic scales to obtain a series of data sequences with different intrinsic timescales, that is, the intrinsic mode functions (IMFs). The boundary effect points affect the shape of the spline function. This may lead to different IMFs. The application of the traditional EMD and the Ensemble Empirical Mode Decomposition (EEMD) to profile analysis is based on the assumption that a signal's oscillation is univariate. Axle box acceleration (ABA) measurements measure the vibration of the wheel in the vehicle‐track systems expected during wheel/rail interactions.
Hilbert–Huang Transform, Profile, Signal, and Image Analysis
Attoh‐Okine, Nii O. (author)
Big Data and Differential Privacy ; 133-155
2017-06-26
23 pages
Article/Chapter (Book)
Electronic Resource
English
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