A trace interpolation scheme suggested by Muir 1991 is implemented and tested on real and synthetic data. The algorithm is conceptually simple: the assumption is made that there is some low-frequency portion of the data that is not spatially aliased and which can safely be interpolated. For each trace there is some relationship between the unaliased low-frequency data and the spatially aliased high-frequency data. This relationship can be found for each of the original traces and then used to reconstruct the high-frequency data on the interpolated traces. The nonstationarity of seismic data makes it necessary to perform the interpolation on small windows of data. The method works well for real and synthetic data when the original data are uniformly sampled and have an adequate low-frequency component.