In electrical exploration techniques, an effective suppression method for Gaussian and impulsive random noise in spread-spectrum induced-polarization (SSIP) data continues to be challenging for conventional denoising methods. Remnant noise influences the complex resistivity spectrum and damages the subsequent interpretation of geophysical surveys. We have developed a hybrid method based on a correlation function and complex resistivity, which introduces the correlation analyses among the transmitting source, the measured potential, and the injected current signal. According to the analyses, reliable results for complex resistivity spectra can be calculated, which can be further used for noise suppression. We apply the hybrid method to numerical and field experiments to process the measured SSIP data. Simulation tests find that the hybrid method not only suppresses the two types of noise but also improves the relative error of the complex resistivity spectrum. Field data processing indicates that the hybrid method can minimize the standard deviation of the data and can have a greater ability to distinguish adjacent objects, which can improve the reliability of the data in subsequent processing and interpretation.

中文翻译：

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一种基于复电阻率的混合相关去噪方法及其在扩频诱导极化数据上的应用

在电勘探技术中，对于扩频感应极化 (SSIP) 数据中的高斯和脉冲随机噪声的有效抑制方法继续对传统去噪方法具有挑战性。残余噪声会影响复杂的电阻率谱并损害地球物理调查的后续解释。我们开发了一种基于相关函数和复电阻率的混合方法，它引入了发射源、测量电位和注入电流信号之间的相关分析。根据分析，可以计算出复杂电阻率谱的可靠结果，可进一步用于噪声抑制。我们将混合方法应用于数值和现场实验以处理测量的 SSIP 数据。仿真试验发现，混合方法不仅抑制了两类噪声，而且改善了复电阻率谱的相对误差。现场数据处理表明，混合方法可以最大限度地减少数据的标准偏差，并且可以有更大的区分相邻物体的能力，可以提高数据在后续处理和解释中的可靠性。