Summary

This paper describes a Frequency Domain Smoothing (FDS) approach aiming to reduce random noise in seismic data in the frequency domain. Unlike time domain smoothing methods that tend to suppress high frequency components in the data, the FDS approach has little, if any, harm to high frequencies while reducing noise. Applying FDS before spectral balancing can significantly increase the resolution of seismic data without boosting high amplitude noise. The FDS does not need to be applied as pre-processing step before spectral balancing, it is implicitly, as proved by this paper, imbedded in the short window Fourier transform, as well as the widely used Gabor transform.

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