Transient electromagnetic data processing method based on wavelet decomposition and IME frequency estimation
A transient electromagnetic and wavelet decomposition technology, applied in computing, complex mathematical operations, computer components, etc., can solve the problems of reducing the number of superpositions, residual power frequency harmonic noise, low efficiency, etc., to eliminate power frequency harmonic noise. Residual, remove residual noise, improve the effect of signal-to-noise ratio
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[0041] In order to make the object, technical solution and advantages of the present invention more clear, the present invention will be further described in detail below in conjunction with the examples. It should be understood that the specific embodiments described here are only used to explain the present invention, not to limit the present invention. In order to avoid obscuring the essence of the present invention, well-known methods, procedures, and flow charts are not described in detail.
[0042] In the description of the present invention, the IME (Improving model estimator) algorithm is an improved modeled frequency estimate.
[0043] A transient electromagnetic data processing method based on wavelet decomposition and IME frequency estimation, the overall workflow is as follows figure 1 shown, including the following steps:
[0044] S1. Collect environmental noise: collect a group of environmental noise with a duration of Ta, where Ta≥60ms, and the environmental n...
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