private void ShowComparisonSoundFeature(SoundFeature comparisonSoundFeature)
{
DataSeries dataSeries = new DataSeries();
dataSeries.Generate(comparisonSoundFeature.Name, comparisonSoundFeature.TimeList, comparisonSoundFeature.ValueList);
dataSeries.SetPointVisibilityState(true);
dataSeries.SetPointConnectionState(true);
dataSeries.SetLineColor(Color.Black);
dataSeries.SetPointColor(Color.Red);
List <double> verticalErrorBarList = new List <double>();
for (int ii = 0; ii < comparisonSoundFeature.VarianceList.Count; ii++)
{
double standardDeviation = Math.Sqrt(comparisonSoundFeature.VarianceList[ii]);
verticalErrorBarList.Add(standardDeviation);
}
dataSeries.AddSymmetricVerticalErrorBars(verticalErrorBarList);
dataSeries.SetVerticalErrorBarSerifVisibilityState(true);
dataSeries.SetErrorBarRelativeSerifLength(0.002);
dataSeries.SetVerticalErrorBarsVisibilityState(true);
featureComparisonPlotPanel.AddDataSeries(dataSeries);
}
private void AppendFeatureSeries(int selectedSoundIndex, int selectedFeatureIndex)
{
SoundFeature averageSoundFeature = recognizer.AverageSoundFeatureSetList[selectedSoundIndex].FeatureList[selectedFeatureIndex];
string featureName = averageSoundFeature.Name;
DataSeries dataSeries = new DataSeries();
dataSeries.Generate(featureName, averageSoundFeature.TimeList, averageSoundFeature.ValueList);
dataSeries.SetPointVisibilityState(true);
dataSeries.SetPointConnectionState(true);
dataSeries.SetLineColor(Color.Black);
dataSeries.SetPointColor(Color.Red);
List <double> verticalErrorBarList = new List <double>();
for (int ii = 0; ii < averageSoundFeature.VarianceList.Count; ii++)
{
double standardDeviation = Math.Sqrt(averageSoundFeature.VarianceList[ii]);
verticalErrorBarList.Add(standardDeviation);
}
dataSeries.AddSymmetricVerticalErrorBars(verticalErrorBarList);
dataSeries.SetVerticalErrorBarSerifVisibilityState(true);
dataSeries.SetErrorBarRelativeSerifLength(0.002);
featurePlotPanel.AddDataSeries(dataSeries);
}
