An analysis of noise effect on the identification of sources of potential fields with the continuous wavelet transform method and the choice of the scaling factor
Liu Caiyun1,2, Yao Changli1
1. School of Geophysics and Information Technology, China University of Geosciences, Beijing 100083, China;
2. School of Mathematics and Information, Yangtze University, Jingzhou 434023, China
In order to improve the accuracy of the identification of sources of potential fields with the continuous wavelet transform method (CWT), this paper deals with the effect of noise and the choice of scaling factor. Firstly, the principle of the identification of sources of potential fields with the CWT method is presented. Secondly, the method is used to identify the sources from potential field data with noise of various levels, and the effect of noise is analyzed. Lastly, the effect of suppressing noise by CWT is analyzed, and the choice of scaling factor is studied. The results of identification of the sources of synthetic data and field data indicate that the noise can decrease the accuracy of identification result. but the choice of the scaling factor can suppress the noise and improve the accuracy of the identification result.
刘彩云, 姚长利. 连续小波变换识别位场场源法的噪声影响分析与尺度因子的选择[J]. 物探与化探, 2014, (3): 527-533.
Liu Caiyun, Yao Changli. An analysis of noise effect on the identification of sources of potential fields with the continuous wavelet transform method and the choice of the scaling factor. Geophysical and Geochemical Exploration, 2014, (3): 527-533.
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