论文部分内容阅读
由于地震信号的非线性和非平稳性,导致频率域的去噪方法滤波效果不佳.鉴于此,本文设计了基于互补集合经验模态分解(CEEMD)的曲波最优化迭代阈值去噪方法.该方法首先利用CEEMD将非平稳信号分解为一系列相对平稳的固有模态函数,根据每个固有模态函数所含噪声强弱的不同,利用曲波最优化迭代阈值进行去噪处理,最后将处理后的固有模态函数进行重构,得到最终压制噪声后的结果.与FX反褶积相比,本文方法在压制随机噪声提高信噪比的同时,可以更好的保护有效信号.模型试算和实际资料处理验证了该方法的有效性.
Due to the non-linear and non-stationary seismic signals, the denoising method in the frequency domain has a poor filtering effect. In view of this, an iterative threshold denoising method based on complementary set empirical mode decomposition (CEEMD) is proposed. Firstly, CEEMD is used to decompose the non-stationary signal into a series of relatively stable intrinsic mode functions. According to the difference of the noise intensity contained in each intrinsic mode function, the noise is optimized by using the optimal iterative threshold of the curved wave. Finally, After processing, the intrinsic mode function is reconstructed to obtain the final suppression noise result.Compared with the FX deconvolution, the proposed method can better protect the effective signal while suppressing the random noise and improving the signal-to-noise ratio Computation and actual data processing verify the effectiveness of the method.