The N‐th root process applied to seismic array data

Abstract

A non‐linear N‐th Root method of processing seismic array data is investigated for both event detection and event processing. For event detection it has been found that this process is much better at handling non Gaussian noise and is only very marginally worse than linear processing when the noise is Gaussian. For event processing its chief advantage is the suppression of sections of the record where the signal‐to‐noise ratio is low, enabling more precise azimuth and slowness measurements to be made. Copyright © 1976, Wiley Blackwell. All rights reserved