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二维经验模式分解，速度较快，不错的代码，希望对学习HHT的朋友有用-Two-dimensional empirical mode decomposition, fast, good code
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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 separat
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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
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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)
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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)
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