【摘要】 在电磁干扰大的地区进行长周期大地电磁测量,如何有效地抑制各种电磁噪声,提高信噪比,从而保证数据质量,是长周期大地电磁资料采集与处理的核心问题。针对长周期大地电磁信号具有非线性、非平稳和非最小相位的特点,提出了利用经验模态分解(EMD)方法对长周期大地电磁信号进行噪声压制。讨论了EMD算法的具体实现流程,并将该算法应用于长周期大地电磁信号的噪声压制。实际应用结果表明,该方法可以有效地压制长周期大地电磁中的噪声。更多还原

【Abstract】 In long-eriod magnetotelluric sounding measurement in the noisy area,the effective suppression of a variety of electromagnetic noises and the improvement of the quality of data constitute the core problem in long period magnetotelluric sounding data acquisition and data processing.As the long-eriod magnetotelluric sounding data are characterized by nonlinear,non-tationary and non-inimum phase,in this paper the authors propose the EMD method to suppress the noise in long-eriod magnetotelluric signals,and deals with the implementation details of the EMD algorithm.The authors applied the EMD algorithm to the long-eriod magnetotelluric signal noise suppression,and the results show that the EMD method can effectively suppress the long-eriod magnetotelluric noise.更多还原