private void CalculateSpec()
{
answer = new MySeries[sample.end * 2 / Setting.FrameLength - 1];
Complex[] buff = new Complex[Setting.FrameLength];
for (int frame = 0; frame < answer.Length; frame++)
{
SetLabelValue(frame * 100 / answer.Length);
SetBarValue(frame * 100 / answer.Length);
for (int i = 0; i < Setting.FrameLength; i++)
{
buff[i] = sample.data[frame * Setting.FrameLength / 2 + i];
}
HammingWindow.Use(buff);
FFT.Forward(buff, FourierTransformScaling.ForwardScaling);
answer[frame] = new MySeries();
answer[frame].begin = (frame + 1) * Setting.FrameLength / 2;
answer[frame].end = answer[frame].begin + Setting.FrameLength - 1;
answer[frame].data = new float[Setting.FrameLength];
for (int i = 0; i < Setting.FrameLength; i++)
{
answer[frame].data[i] = (float)Complex.Abs(buff[i]);
}
}
SetLabelValue(100);
SetBarValue(100);
this.Invoke(new Action(this.Close));
}
public static double[] ApplyHammingWindow(float[] signal, HammingWindowDef hammingWindowDef = null)
{
if (hammingWindowDef == null)
{
hammingWindowDef = new HammingWindowDef();
}
var hammingWindow = new HammingWindow(hammingWindowDef, signal.Length);
return hammingWindow.Apply(signal);
}
private void ComputeHammingWindow(object sender, RoutedEventArgs e)
{
Signal = new HammingWindow(Signal, M);
ChartWrapper.SetSignal(SignalSlot, Signal);
ReplotChartAndHistogram();
}
