Showing papers by "Melvin J. Hinich published in 1962"
TL;DR: A model for the system which detects unknown, randomly occurring signals which are imbedded in Gaussian noise is set forth and analyzed using methods derived from probability theory, which uses a variable threshold characteristic.
Abstract: This paper deals with a system which detects unknown, randomly occurring signals which are imbedded in Gaussian noise. A model for the system is set forth and analyzed using methods derived from probability theory. The system uses a variable threshold characteristic. Approximations are given for the mean and variance of the threshold at equilibrium, as a function of the signal-to-noise ratio, the a priori probabilities of signal occurrence, and the rate of decay of the threshold.
23 citations