Method for recognizing and separating magnetotelluric signal and noise
A technology of magnetotelluric and separation methods, which is applied in pattern recognition, character and pattern recognition, instruments, etc. in signals, and can solve the problem of blindness, degradation of magnetotelluric signal data quality, and influence on reliability and interpretability of magnetotelluric data And other issues
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[0072] The present invention will be further described below in conjunction with the accompanying drawings and specific embodiments.
[0073] like figure 1 As shown, the present invention discloses a method for identification and separation of magnetotelluric signal and noise, comprising the following steps:
[0074] Step 1. Initialize parameters, divide the magnetotelluric signal time series into J segments at equal intervals, and perform mean value removal processing on each magnetotelluric signal segment;
[0075] Step 2. Perform optimized intrinsic time scale decomposition on each magnetotelluric signal segment x(t) after de-meaning processing, and obtain N rotation components PR with frequencies distributed from high to low n (t) and a residual component R with a monotonically changing trend N (t), where n=1,2,...,N;
[0076] Step 3. Extract the sample entropy and fuzzy entropy of the N rotation components obtained by decomposing the optimized intrinsic time scale of e...
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