EMD based on recursive high-pass filter and its application on seismic signal analysis
基于递归高通滤波的经验模态分解及其在地震信号分析中的应用

Decomposing seismic signal into predominant-period components without frequency spectrum mixing is of help to seismic signal processing. The intrinsic cause of mode mixing in empirical model decomposition (EMD) and its traditional resolutions are studied, and the new ideas to solve the problem are analyzed, then a novel EMD algorithm based on the proposed recursive high-pass filter on the input signal is put forward. Firstly, the original signal is decomposed by recursive high-pass filters, which are as equal band-pass filters, into several components with the frequency decreasing, and then the components are sifted recursively by EMD with the frequency from high to low to obtain the complete intrinsic mode components. Experiments on artificial and natural seismic signals are designed for analysis and are made with a view to demonstrate the validity of the proposed method. The results of the experiments indicate that the proposed recursive high-pass filter algorithm can overcome mode mixing with the predominant-period components without frequency spectrum mixing, and is successfully applied to separate and analyze the seismic phases. The proposed method provides a novel approach for the seismic signal analysis.