private void ProcessSample(float sample)
{
var windowsize = size;
_recorded.Add(sample);
if (_recorded.Count == windowsize)
{
#region add
double[] dftIn = new double[size];
double[] dftInIm = new double[size];
DataPoint[] DftIn = new DataPoint[size];
DataPoint[] DFTResult = new DataPoint[size];
DataPoint[] FFTResult = new DataPoint[size];
double[] data = new double[size];
for (int i = 0; i < size; i++)
{
dftInIm[i] = 0.0;
}
var window = MathNet.Numerics.Window.Hamming(windowsize);
_recorded = _recorded.Select((v, i) => (double)v * window[i]).ToList();
dftIn = _recorded.Take(size).ToArray();
// FFT
FFT(dftIn, dftInIm, out reFFT, out imFFT, (int)Math.Log(size, 2));
// 波形显示
for (int i = 0; i < size / 2; i++)
{
if (i > 0)
{
float a = ((float)fs / size);
float x = (float)i * a;
double y = Math.Sqrt(reFFT[i] * reFFT[i] + imFFT[i] * imFFT[i]);
FFTResult[i] = new DataPoint(x, y);
}
}
line1.ItemsSource = FFTResult.Take((FFTResult.Count() / 20));
#endregion
_recorded.Clear();
}
}
private void ProcessSample(float sample)
{
var windowsize = size;
_recorded.Add(sample);
if (_recorded.Count == windowsize)
{
#region add
// DFT用データ
double[] dftIn = new double[size];
double[] dftInIm = new double[size];
DataPoint[] DftIn = new DataPoint[size];
DataPoint[] DFTResult = new DataPoint[size];
DataPoint[] FFTResult = new DataPoint[size];
// 窓関数後データ
double[] data = new double[size];
// 波形生成
for (int i = 0; i < size; i++)
{
dftInIm[i] = 0.0;
}
var window = MathNet.Numerics.Window.Hamming(windowsize);
_recorded = _recorded.Select((v, i) => (double)v * window[i]).ToList();
dftIn = _recorded.Take(size).ToArray();
// DFT
//DFT(size, dftIn, out re, out im);
// FFT
FFT(dftIn, dftInIm, out reFFT, out imFFT, (int)Math.Log(size, 2));
// DFT波形表示
for (int i = 0; i < size / 2; i++)
{
if (i > 0)
{
//FFTの横軸の周波数の単位、分解能についてはここを見る
//URL http://detail.chiebukuro.yahoo.co.jp/qa/question_detail/q1350561093
//FFTの分解能（ひと間隔）はfs/sizeでももとまる。また、横軸の最大値は、サンプリング周波数の半分（サンプリング定理）となる。
//DFTResult[i] = new DataPoint((double)i, Math.Sqrt(re[i] * re[i] + im[i] * im[i]));
float a = ((float)fs / size);
float x = (float)i * a;
double y = Math.Sqrt(reFFT[i] * reFFT[i] + imFFT[i] * imFFT[i]);
FFTResult[i] = new DataPoint(x, y);
}
}
//line1.ItemsSource = dftIn;
line2.ItemsSource = FFTResult.Take((FFTResult.Count() / 20));
//line1.ItemsSource = DFTResult;
#endregion
//var points = _recorded.Select((v, index) =>
// new DataPoint((double)index, v)
// ).ToList();
//var window = MathNet.Numerics.Window.Hamming(windowsize);
//_recorded = _recorded.Select((v, i) => (double)v * window[i]).ToList();
//double[] Fourierdata = _recorded.Select(v => (v)).ToArray();
//Fourier.ForwardReal(Fourierdata, Fourierdata.Length - 2, FourierOptions.Matlab); ;
//var s = windowsize * (1.0 / 8000.0);
////var point = Fourierdata.Take(Fourierdata.Count()).Select((v, index) =>
//// new DataPoint((double)index, v)
////).ToList();
//var point = Fourierdata.Take(Fourierdata.Count() / 2).Select((v, index) =>new DataPoint((double)index / s,v)).ToList();
//_lineSeries.Points.Clear();
//_lineSeries.Points.AddRange(points);
//line1.ItemsSource = points;
//line2.ItemsSource = point;
_recorded.Clear();
}
}
