Confidence intervals for the signal-to-noise ratio when a signal embedded in noise is observed over repeated trials

The problem of estimating the signal-to-noise ratio (SNR) when repeated measurements are made of a deterministic signal embedded in random noise is considered. An estimator is described, its asymptotic distribution is derived, and a method for constructing confidence intervals is proposed. The performance of the method is evaluated using simulated evoked potential data, and an application to real evoked potential data is presented.<
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