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

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)

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)