/**
* Create a new BandpassPipeable with the following properties
* @param sampleRate the sampleRate of the underlying adapter
* @param channels the number of channels of the underlying adapter
* @param minFreq minimum cut-off frequency for all channels, interpreted as the center of the frequency cutoff
* @param maxFreq maximum cut-off frequency for all channels, interpreted as the center of the frequenct cutoff
* @param transitionBandwidth signal attentuation will start at fC - transitionBandwidth/2 and end at fC + transitionBandwidth / 2
*/
public BandpassPipeable(
double sampleRate,
int channels,
double minFreq,
double maxFreq,
double transitionBandwidth)
{
signalFilters = new IFilter <double> [channels];
buffer = new double[channels];
for (int i = 0; i < channels; i++)
{
signalFilters[i] = new ConvolvingDoubleEndedFilter(minFreq, maxFreq, transitionBandwidth, sampleRate, true);
}
}
// end artifact fields
public SimpleFilterPipeable(
double sampleRate,
int channels,
double minFreq,
double maxFreq,
double transitionBandwidth,
double artifactLearningTime)
{
artifactLearningSize = (int)Math.Round(sampleRate * artifactLearningTime);
signalFilters = new IFilter <double> [channels];
artifactLearningSamples = new Queue <double> [channels];
arPredictors = new ARModel[channels];
lastPredictions = new double[channels];
arError = new OnlineVariance[channels];
for (int i = 0; i < channels; i++)
{
signalFilters[i] = new ConvolvingDoubleEndedFilter(minFreq, maxFreq, transitionBandwidth, sampleRate, true);
artifactLearningSamples[i] = new Queue <double>();
arError[i] = new OnlineVariance();
}
}
