We develop a parametric statistical approach to detecting and estimating the delay and duration parameters of a ripple-fired signal. Such signals are generated by mining blasts with roughly equally spaced charges. Detection of the echo structure induced by ripple firing can serve as a basis for discriminating between mining blasts and nuclear explosions or earthquakes which, in principle, will not contain such echo effects. The model assumes a noise corrupted ...
Conventional methods for discriminating between earthquakes and explosions at regional distances have concentrated on extracting specific features such as amplitude and spectral ratios from the waveforms of the P and S phases. We consider here an optimum nonparametric classification procedure derived from the classical approach to discriminating between two Gaussian processes with unequal spectra. Two robust variations based on the minimum discrimination information statistic and Renyi's entropy are also considered. ...
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