Abstract：Empirical mode decomposition (EMD) method was an adaptive time-frequency analysis method which took the inherent physical frequency components of signals as the objective. The common non-stationary signal analysis methods such as wavelet analysis needed to select wavelet basis, and the results of various wavelet bases were different. Raman spectrum signal was a typical non-linear and non-stationary signal. EMD method fully retained the characteristics of nonlinearity and nonstationarity characteristics of the signal itself, and it was suitable for the analysis of Raman spectrum signals. The original Raman spectrum signals were obtained on the self-developed Raman spectrum testing platform. The signals were decomposed into 10 intrinsic mode function (IMF) components with different frequencies using EMD method. The energy of signals was concentrated around 750cm-1 and 1500cm-1. Finally, the frequency component analysis and denoising treatment were conducted. The effectiveness of EMD method was verified by comparing with the wavelet analysis method. The proposed method had a good application prospect in signal analysis of Raman spectrum.
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