//public OverlapAdd(int _n, int _nsample, int _nir)
public OverlapAdd(Constant c)
{
Debug.Log($"samples:{c.blockSamples} size:{c.blockSize} ir:{c.impulseResponseSamples}");
blockSize = c.blockSize;
impulseResponseSamples = c.impulseResponseSamples;
blockSamples = c.blockSamples;
Debug.Assert(blockSize == impulseResponseSamples - 1 + blockSamples);
fft = new Fft(blockSize);
frequencyResponseX = new float[blockSize];
frequencyResponseY = new float[blockSize];
overlap = new float[impulseResponseSamples - 1];
convolutionBuf1X = new float[blockSize];
convolutionBuf1Y = new float[blockSize];
convolutionBuf2X = new float[blockSize];
convolutionBuf2Y = new float[blockSize];
convolutionResult = new float[blockSamples];
}
/// <summary>
/// FFTテスト
/// </summary>
private void FftTest()
{
if (!fftTestFlg)
{
return;
}
debugButton.AddButton("FftTest", () =>
{
float[] x = new float[] { 1, 0, 0, 0 };
float[] y = new float[] { 0, 0, 0, 0 };
var t = new Fft(4);
t.Forward(x, y);
t.Inverse(x, y);
Debug.Log($"result =================================");
for (int i = 0; i < x.Length; ++i)
{
Debug.Log($"[{i}]:{x[i]:0.00} {y[i]:0.00}");
}
});
}
/// <summary>
/// すべてのインパルス応答を読み込む
/// </summary>
public static void LoadAll(Constant c)
{
dictionary.Clear();
Fft fft = new Fft(c.blockSize);
for (int i = 0; i < 360; i += 5)
{
// Debug.Log($"Load angle:{i}");
var ir = new Data(c.blockSize);
var clip_l = WaveAudioClip.CreateWavAudioClip($"Bytes/elev0/L0e{i:000}a.wav");
Debug.Assert(clip_l.samples == c.impulseResponseSamples);
clip_l.GetData(ir.channelLX, 0, c.impulseResponseSamples);
fft.Forward(ir.channelLX, ir.channelLY);
var clip_r = WaveAudioClip.CreateWavAudioClip($"Bytes/elev0/R0e{i:000}a.wav");
Debug.Assert(clip_r.samples == c.impulseResponseSamples);
clip_r.GetData(ir.channelRX, 0, c.impulseResponseSamples);
fft.Forward(ir.channelRX, ir.channelRY);
ir.angle = i;
dictionary[i] = ir;
}
}
