Abstract
A general and fundamental relationship between estimation, detection/pattern recognition, and the Bhattacharyya coefficient is established. Specifically, it is shown that a functional of the likelihood ratio necessary for Bayes optimal detection/pattern recognition is the Bayes-optimal mean-square estimate of the indicator variable\beta, where\beta = 1, 0, for hypothesesH_{1}, H_{0}, respectively. The Bhattacharyya coefficient is then shown to be the expected value of the estimation error standard deviation.

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