Trimmed estimators for robust averaging of event-related potentials
Trimmed estimators for robust averaging of event-related potentials is a scholarly work by Juha Karvanen, Sergei L Shishkin, and Zbigniew Leonowicz, published in 2005 in ''Journal of Neuroscience Methods''. The main subjects of the publication include data set, mathematics, pattern recognition, set, event, estimator, brain–computer interface, computer science, robust statistics, artificial neural network, statistics, truncated mean, independent component analysis, outlier, and algorithm. The possibilities to improve signal-to-noise ratio (SNR) of averaged waveforms using trimmed location estimators are demonstrated for epochs randomly drawn from a set of real auditory evoked potential data.