/// <summary>
/// Playing with fourier transformation
/// </summary>
public void DoSomeFourier(List <float[]> inSoundData, List <float[]> outSoundData)
{
var data = inSoundData[1];
var complex = new Complex[data.Length];
for (int i = 0; i < data.Length; i++)
{
complex[i] = new Complex(data[i], 0);
}
Fourier.Inverse(complex);
var app = new Application();
var window = new Window();
var grid = new Grid();
RowDefinition rowDef1 = new RowDefinition();
RowDefinition rowDef2 = new RowDefinition();
RowDefinition rowDef3 = new RowDefinition();
RowDefinition rowDef4 = new RowDefinition();
grid.RowDefinitions.Add(rowDef1);
grid.RowDefinitions.Add(rowDef2);
grid.RowDefinitions.Add(rowDef3);
grid.RowDefinitions.Add(rowDef4);
var chart1 = new Chart();
Grid.SetRow(chart1, 0);
var barChart1 = new BarGraph();
chart1.Content = barChart1;
double[] y1 = new double[complex.Length];
for (int i = 0; i < complex.Length; i++)
{
y1[i] = data[i];
//y1[i] = complex[i].Magnitude;
//y1[i] = Math.Sin(((double)i) / complex.Length * 2 * Math.PI);
}
barChart1.PlotBars(y1);
grid.Children.Add(chart1);
var chart2 = new Chart();
Grid.SetRow(chart2, 1);
var barChart2 = new BarGraph();
chart2.Content = barChart2;
double[] y2 = new double[complex.Length];
for (int i = 0; i < complex.Length; i++)
{
//y1[i] = complex[i].Magnitude;
y2[i] = 1.0;
}
barChart2.PlotBars(y2);
grid.Children.Add(chart2);
window.Content = grid;
app.Run(window);
}
