Adaptive time-frequency peak filtering and de-noising method based on improved Hough transform
A technology of peak filtering and Hough transform, which is applied in the field of adaptive time-frequency peak filtering and denoising based on improved Hough transform, can solve the problems of poor flexibility and adaptability, fixed trajectory parameters and shapes, etc., to reduce errors, The calculation speed is fast and the effect of reducing the filtering deviation
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[0024] Include the following steps:
[0025] Step 1: A noisy seismic record can be regarded as an image data, and the reflection event in the record is equivalent to the edge information in the image. In order to facilitate the morphological recognition of seismic data, the seismic data is firstly processed in gray scale, and the data value is converted to 0-255. The processed seismic data can be regarded as an image data; then the improved Hough transform is used to To identify the event shape in the grayscale image data, first, use the fractional Fourier transform formula in formula (1) to transform the seismic data into an intermediate domain between the time domain and the frequency domain, and rotate it to an angle pointing from the time axis to the frequency axis;
[0026]
[0027] where F α (k 1 ,k 2 )’s N×N frequencies are scattered in the [-απ,απ]×[-απ,απ] interval, given a fractional coefficient α, a series of fractional Fourier frequencies will be generated, ...
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