A method for identification and separation of magnetotelluric signal and noise
A kind of magnetotelluric and separation method technology, applied in the recognition of patterns in signals, character and pattern recognition, instruments, etc., can solve the problems affecting the reliability and interpretability of magnetotelluric data, the quality of magnetotelluric signal data is degraded, and the blindness And other issues
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[0073] The present invention will be further described below in conjunction with the accompanying drawings and specific embodiments.
[0074] Such as figure 1 As shown, the present invention discloses a method for identification and separation of magnetotelluric signal and noise, comprising the following steps:
[0075] 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;
[0076] 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;
[0077] Step 3. Extract the sample entropy and fuzzy entropy of the N rotation components obtained by decomposing the optimized intrinsic time scale o...
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