Study on Spatial Prediction Filtering in Fractional Fourier Domains for Seismic Data
Wan Liu · 2008
We generalize the spatial predictive filtering techniques to seismic data by means of the fractional Fourier transform in order to find a balance between signal character preservation and noise removal.The fractional Fourier transform allows transformation to any of a continuous family of spaces intermediate to the time and frequency domains by introducing a fractional parameter,and the SVD technique is used to attain the filter during the course of filtering.The crosscorrelation coefficient curve and relative error energy curve are used as attributes to evaluate the quality of results.The research results of this paper prove that we can find a proper fractional domain in which the spatial prediction filtering can keep a balance between noise removal and signal character conservation.This method is more flexible than the classical one.