Description: The Hilbert–Huang method is presented with modifications,
for time-frequency analysis of distorted power quality signals.
The empirical mode decomposition (EMD) is enhanced with
masking signals based on fast Fourier transform (FFT), for separating
frequencies that lie within an octave. Further, the instantaneous
frequency and amplitude of the constituent modes obtained
by Hilbert spectral analysis are improved by demodulation. The
method shows promising time-frequency-magnitude localization
capabilities for distorted power quality signals. The performance
of the new technique is compared with that of another multiresolution
analysis tool, the S-transform—a phase corrected wavelet
transform. Analysis on actual measurements of transformer inrush
current from an existing laboratory setup is used to demonstrate
this technique. Platform: |
Size: 835584 |
Author:imed |
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Description: 对仿真信号进行快速傅里叶变换，再进行经验模态分解，再对每个分量求FFT-Simulation signal fast Fourier transform, and then empirical mode decomposition, and then seek FFT for each component Platform: |
Size: 1024 |
Author: |
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Description: 变分模态分解方法，里面有快速傅立叶变化，不同于经验模态分解。-Variational mode decomposition method, which has a fast Fourier transform, unlike the empirical mode decomposition. Platform: |
Size: 2872320 |
Author:李云 |
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Description: 快速经验模态分解程序包，能够实现时间序列数据的模态分解(The fast empirical mode decomposition package can realize the modal decomposition of time series data) Platform: |
Size: 813056 |
Author:于北回归线上
|
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Description: 集合经验模态分解算法和基于负熵最大的Fast ICA算法对心磁信号的去噪处理(Ensemble empirical mode decomposition algorithm and Fast ICA algorithm based on maximum negative entropy for denoising processing of magnetic heart signals) Platform: |
Size: 765952 |
Author:金小鹿 |
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Search - fast empirical mode decomposition