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大地电磁资料处理方法大多数都是对一段记录做傅氏变换,构成功率谱后再求张量阻抗元素。本文通过对记录上的实信号做窄带复数滤波或窄带递归滤波和希尔伯特变换,转换成窄带复信号,再由复信号的瞬时谱求出张量阻抗元素。利用这种方法对实际资料处理的结果与常规方法处理的结果基本一致。由于采用了快速褶积实现希尔伯特变换,因而处理时间也与常规方法大体相当。
Most of the MT data processing methods do Fourier transform on a piece of record to form a power spectrum and then find the tensor impedance element. In this paper, narrow-band complex filter, narrow-band recursive filter and Hilbert transform are applied to the recorded real signal to convert into narrow-band complex signals, then the tensor impedance elements are obtained from the instantaneous spectra of complex signals. Using this method, the result of actual data processing is basically the same as that of the conventional method. Because of the fast convolution Hilbert transform, so the processing time is also roughly the same as the conventional method.