Method and System for Magnetotelluric Signal Denoising Based on Improved Multiscale Dispersion Entropy
A kind of magnetotelluric, multi-scale technology, applied in the recognition of patterns in signals, instruments, calculations, etc., can solve the problems of apparent resistivity-phase curve confusion, data quality degradation, loss of low-frequency useful information processing efficiency, etc., to improve the data quality, reducing computational bias, denoising targeted effects
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[0052] The present invention will be further described below with reference to the embodiments.
[0053] like figure 1 As shown, an embodiment of the present invention provides a method for denoising a magnetotelluric signal based on improved multi-scale spread entropy, including the following steps:
[0054] Step S1: segment the original magnetotelluric signal, and then extract the improved multi-scale scatter entropy of each segment of the magnetotelluric signal separately;
[0055] Among them, a section of magnetotelluric signal is subjected to multi-scale coarse-grained processing under the scale factor τ to obtain the τ group of coarse-grained sequences, and then the mean value of the probability of the distribution pattern of the coarse-grained sequences under the scale factor τ is calculated, and combined with the Shannon entropy definition and The mean of the scatter pattern probabilities yields the improved multi-scale scatter entropy of the segment of the magnetotel...
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