/**
* Create a new TournamentArtifactPipeable with following params
*
* @param channels channels as reported by the underlying EEGDeviceAdapter
* @param sampleRate sample rate as reported by the underlying EEGDeviceAdapter
* @param learningTime This many seconds of data will be used to fit the underlying TournamentArtifactPipeable
* @param tournamentSize how many IArtifactDetectors should compete
* @param nAccept the majority of the top nAccept IArtifactDetector's determines if the EEGEvent is considered to be an artifact
* @param initialMerits determines how quickly an IArtifactDetector is thrown out of the tournament in the worst case. Should be large in relation to sampleRate.
*
*/
public TournamentArtifactPipeable(int channels, double sampleRate, double learningTime, uint tournamentSize, uint nAccept, uint initialMerits)
{
uint learningSampleSize = (uint)Math.Round(learningTime * sampleRate);
detectors = new IArtifactDetector[channels];
for (int i = 0; i < channels; i++)
{
detectors[i] = new TournamentArtifactDetector(tournamentSize, learningSampleSize, nAccept, initialMerits);
}
}
