Abstract
A model for the first passage time probability density function of an arbitrary signal plus filtered noise is proposed and verified. The model is based on known characteristics of the first passage time problem being considered and on a series expansion involving unknown coefficients. The model is self adaptive to the problem being considered and a relatively low number of terms are required in the series expansion to achieve a set level of accuracy.
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