Implementing non-stationary filtering in time and in Fourier domain

Gabriel Alvarez

gabriel@sep.stanford.edu

ABSTRACT

Non-stationary filtering of seismic data can be accomplished in time or in Fourier domain by the theory of non-stationary convolution Margrave (1998). Here I show the results of implementing this theory for time-variant filtering of seismic data with an arbitrary number of filters and for forward and inverse NMO correction in the frequency domain. In the first case I show that the filters may be made to change sample-by-sample down the trace without artifacts being introduced and in the second case that the accuracy of the implied fractional sample interpolation can be controlled as an input parameter.