Fourier reconstruction of non-uniformly sampled, aliased data
Paul Zwartjes, Mauricio D. Sacchi · 2004
The Fourier reconstruction algorithm can regularize many kinds of non-uniformly sampled data. One significant problem in reconstruction of seismic data is aliasing. In this abstract we present an extension of Fourier reconstruction that can interpolate uniformly and non-uniformly sampled, aliased seismic data. Like other spatial and wavenumber domain interpolation algorithms, our method makes use of the unaliased lower part of the spectrum.