Classification of Gaussian random processes using a simple linear discriminant and its application to seismic differentiation

摘要

A regression solution is adopted for the problem of discrimination between Gaussian random processes (time series). This has led to the introduction of a simple but ‘efficient’ linear discriminant. The application to actual practice is demonstrated by consideration of the important problem of explosion-earthquake differentiation.