/// <summary>
/// Computes the weighted average of the data currently stored in the window.
/// </summary>
/// <param name="weights">The weights.</param>
public WeightedAvg GetDataWeightedAvg(double[] weights)
{
CheckReadyness(weights.Length);
int numOfSamplesToBeProcessed = weights.Length;
WeightedAvg wAvg = new WeightedAvg();
for (int i = numOfSamplesToBeProcessed - 1, j = 0; i >= 0; i--, j++)
{
wAvg.AddSample(_dataQueue.GetElementAt(i, true), weights[j]);
}
return(wAvg);
}
/// <summary>
/// Computes the linearly weighted average of the differences of the data in the window.
/// </summary>
/// <param name="reqNumOfSamples">The requiered mumber of samples (-1 means all).</param>
public WeightedAvg GetDataDiffLinWeightedAvg(int reqNumOfSamples = -1)
{
int numOfSamplesToBeProcessed = reqNumOfSamples == -1 ? _dataQueue.Count : reqNumOfSamples;
CheckReadyness(numOfSamplesToBeProcessed);
WeightedAvg wAvg = new WeightedAvg();
for (int i = numOfSamplesToBeProcessed - 2, w = 1; i >= 0; i--, w++)
{
wAvg.AddSample(_dataQueue.GetElementAt(i, true) - _dataQueue.GetElementAt(i + 1, true));
}
return(wAvg);
}