// この関数は音量制限を行わない。呼び出し側で必要に応じて音量を制限する。
private bool PhaseRotationDo(FirWorkerArgs argsFWA, PcmData pcmDataIn, out PcmData pcmDataOutput)
{
PhaseRotationWorkerArgs args = argsFWA as PhaseRotationWorkerArgs;
var conv = new WasapiPcmUtil.PcmFormatConverter(pcmDataIn.NumChannels);
PcmData pcmDataReal = conv.Convert(pcmDataIn, Wasapi.WasapiCS.SampleFormatType.Sdouble, null);
pcmDataOutput = new PcmData();
pcmDataOutput.CopyFrom(pcmDataIn);
PcmData pcmDataImaginary = new PcmData();
pcmDataImaginary.CopyFrom(pcmDataReal);
var dft = new WWDirectComputeCS.WWDftCpu();
var hilb = WWHilbert.HilbertFirCoeff(args.hilbertFilterType, args.firLength);
System.Diagnostics.Debug.Assert(hilb.Length == args.firLength);
// 窓関数
double [] window;
if (args.windowFunc == WindowFuncType.Blackman)
{
WWWindowFunc.BlackmanWindow(args.firLength, out window);
}
else
{
WWWindowFunc.KaiserWindow(args.firLength, args.kaiserAlpha, out window);
}
// FIR coeffの個数は、window.Length個。
// ヒルベルト変換パラメータは未来から過去の方向に並んでいるので左右をひっくり返す。
double [] coeff = new double[args.firLength];
for (int i = 0; i < coeff.Length; ++i)
{
int pos = coeff.Length - i - 1;
coeff[i] = hilb[pos] * window[i];
}
for (int ch = 0; ch < pcmDataImaginary.NumChannels; ++ch)
{
var pcm1ch = new double[pcmDataImaginary.NumFrames];
for (long i = 0; i < pcm1ch.Length; ++i)
{
pcm1ch[i] = pcmDataImaginary.GetSampleValueInDouble(ch, i);
}
// 少しずつFIRする。
var fir = new WWFirCpu();
fir.Setup(coeff, pcm1ch);
const int FIR_SAMPLE = 65536;
for (int offs = 0; offs < pcm1ch.Length; offs += FIR_SAMPLE)
{
int nSample = FIR_SAMPLE;
if (pcm1ch.Length < offs + nSample)
{
nSample = pcm1ch.Length - offs;
}
var pcmFir = new double[nSample];
fir.Do(offs - window.Length / 2, nSample, pcmFir);
// 結果を出力に書き込む。
for (long i = 0; i < pcmFir.Length; ++i)
{
var re = pcmFir[i];
pcmDataImaginary.SetSampleValueInDouble(ch, i + offs,
(float)(re));
}
// 進捗Update。
int percentage = (int)(
(100L * ch / pcmDataImaginary.NumChannels) +
(100L * (offs + 1) / pcm1ch.Length / pcmDataImaginary.NumChannels));
mPRWorker.ReportProgress(percentage);
}
fir.Unsetup();
}
// 音の位相を回転。
for (int ch = 0; ch < pcmDataReal.NumChannels; ++ch)
{
for (long pos = 0; pos < pcmDataReal.NumFrames; ++pos)
{
// 解析信号の各サンプル値を極座標表現に変換。オリジナルの長さと位相を得る。
// 長さをそのままに位相を回転し、回転後の実数成分を出力する。
double x = pcmDataReal.GetSampleValueInDouble(ch, pos);
double y = pcmDataImaginary.GetSampleValueInDouble(ch, pos);
double norm = Math.Sqrt(x * x + y * y);
double theta = Math.Atan2(y, x);
double re = norm * Math.Cos(theta + args.phaseRadian);
pcmDataOutput.SetSampleValueInDouble(ch, pos, re);
}
}
return(true);
}
private bool FirDo(FirWorkerArgs args, PcmData pcmDataIn, out PcmData pcmDataOut)
{
var dft = new WWDirectComputeCS.WWDftCpu();
var from = FreqGraphToIdftInput(pcmDataIn.SampleRate);
double [] idftResult;
dft.Idft1d(from, out idftResult);
// 窓関数の要素数は、IDFT結果の複素数の個数 -1個。
double [] window;
if (args.windowFunc == WindowFuncType.Blackman)
{
WWWindowFunc.BlackmanWindow((idftResult.Length / 2) - 1, out window);
}
else
{
WWWindowFunc.KaiserWindow((idftResult.Length / 2) - 1, args.kaiserAlpha, out window);
}
// FIR coeffの個数は、window.Length個。
double [] coeff;
dft.IdftComplexToFirCoeff1d(idftResult, window, out coeff);
/*
* for (int i=0; i < coeff.Length; ++i) {
* System.Console.WriteLine("coeff {0:D2} {1}", i, coeff[i]);
* }
* System.Console.WriteLine("");
*/
pcmDataOut = new PcmData();
pcmDataOut.CopyFrom(pcmDataIn);
for (int ch = 0; ch < pcmDataOut.NumChannels; ++ch)
{
// 全てのチャンネルでループ。
var pcm1ch = new double[pcmDataOut.NumFrames];
for (long i = 0; i < pcm1ch.Length; ++i)
{
pcm1ch[i] = pcmDataOut.GetSampleValueInDouble(ch, i);
}
// 少しずつFIRする。
var fir = new WWFirCpu();
fir.Setup(coeff, pcm1ch);
const int FIR_SAMPLE = 65536;
for (int offs = 0; offs < pcm1ch.Length; offs += FIR_SAMPLE)
{
int nSample = FIR_SAMPLE;
if (pcm1ch.Length < offs + nSample)
{
nSample = pcm1ch.Length - offs;
}
var pcmFir = new double[nSample];
fir.Do(offs - window.Length / 2, nSample, pcmFir);
// 結果を出力に書き込む。
for (long i = 0; i < pcmFir.Length; ++i)
{
var re = pcmFir[i];
pcmDataOut.SetSampleValueInDouble(ch, i + offs, re);
}
// 進捗Update。
int percentage = (int)(
(100L * ch / pcmDataOut.NumChannels) +
(100L * (offs + 1) / pcm1ch.Length / pcmDataOut.NumChannels));
m_FirWorker.ReportProgress(percentage);
}
fir.Unsetup();
}
return(true);
}
private bool HilbertDo(FirWorkerArgs argsFir, PcmData pcmDataIn, out PcmData pcmDataOutput)
{
HilbertWorkerArgs args = argsFir as HilbertWorkerArgs;
var dft = new WWDirectComputeCS.WWDftCpu();
var hilb = WWHilbert.HilbertFirCoeff(args.hilbertFilterType, args.firLength);
System.Diagnostics.Debug.Assert(hilb.Length == args.firLength);
// 窓関数
double [] window;
if (args.windowFunc == WindowFuncType.Blackman)
{
WWWindowFunc.BlackmanWindow(args.firLength, out window);
}
else
{
WWWindowFunc.KaiserWindow(args.firLength, args.kaiserAlpha, out window);
}
// FIR coeffの個数は、window.Length個。
// ヒルベルト変換パラメータは未来から過去の方向に並んでいるので左右をひっくり返す。
double [] coeff = new double[args.firLength];
for (int i = 0; i < coeff.Length; ++i)
{
int pos = coeff.Length - i - 1;
coeff[i] = hilb[pos] * window[i];
}
/*
* for (int i=0; i < coeff.Length; ++i) {
* System.Console.WriteLine("coeff {0:D2} {1}", i, coeff[i]);
* }
* System.Console.WriteLine("");
*/
pcmDataOutput = new PcmData();
pcmDataOutput.CopyFrom(pcmDataIn);
for (int ch = 0; ch < pcmDataOutput.NumChannels; ++ch)
{
// 全てのチャンネルでループ。
var pcm1ch = new double[pcmDataOutput.NumFrames];
for (long i = 0; i < pcm1ch.Length; ++i)
{
pcm1ch[i] = pcmDataOutput.GetSampleValueInDouble(ch, i);
}
// 少しずつFIRする。
var fir = new WWFirCpu();
fir.Setup(coeff, pcm1ch);
const int FIR_SAMPLE = 65536;
for (int offs = 0; offs < pcm1ch.Length; offs += FIR_SAMPLE)
{
int nSample = FIR_SAMPLE;
if (pcm1ch.Length < offs + nSample)
{
nSample = pcm1ch.Length - offs;
}
var pcmFir = new double[nSample];
fir.Do(offs - window.Length / 2, nSample, pcmFir);
// 結果を出力に書き込む。
for (long i = 0; i < pcmFir.Length; ++i)
{
var re = pcmFir[i];
pcmDataOutput.SetSampleValueInDouble(ch, i + offs, re);
}
// 進捗Update。
int percentage = (int)(
(100L * ch / pcmDataOutput.NumChannels) +
(100L * (offs + 1) / pcm1ch.Length / pcmDataOutput.NumChannels));
m_HilbWorker.ReportProgress(percentage);
}
fir.Unsetup();
}
return(true);
}
private void m_AnalyticSignalWorker_DoWork(object sender, DoWorkEventArgs e)
{
AnalyticSignalWorkerArgs args = e.Argument as AnalyticSignalWorkerArgs;
Stopwatch sw = new Stopwatch();
sw.Start();
// pcmファイルを読み込んでサンプル配列pcm1chを作成。
PcmData pcmDataIn = null;
try {
pcmDataIn = ReadWavFile(args.inputPath);
} catch (IOException ex) {
e.Result = string.Format("WAVファイル {0} 読み込み失敗\r\n{1}", args.inputPath, ex);
}
if (null == pcmDataIn)
{
e.Result = string.Format("WAVファイル {0} 読み込み失敗", args.inputPath);
}
var formatConv = new WasapiPcmUtil.PcmFormatConverter(pcmDataIn.NumChannels);
PcmData pcmDataReal = formatConv.Convert(pcmDataIn, Wasapi.WasapiCS.SampleFormatType.Sdouble, null);
PcmData pcmDataImaginary = new PcmData();
pcmDataImaginary.CopyFrom(pcmDataReal);
var dft = new WWDirectComputeCS.WWDftCpu();
var hilb = WWHilbert.HilbertFirCoeff(args.hilbertFilterType, args.firLength);
System.Diagnostics.Debug.Assert(hilb.Length == args.firLength);
// 窓関数
double [] window;
if (args.windowFunc == WindowFuncType.Blackman)
{
WWWindowFunc.BlackmanWindow(args.firLength, out window);
}
else
{
WWWindowFunc.KaiserWindow(args.firLength, args.kaiserAlpha, out window);
}
// FIR coeffの個数は、window.Length個。
// ヒルベルト変換パラメータは未来から過去の方向に並んでいるので左右をひっくり返す。
double [] coeff = new double[args.firLength];
for (int i = 0; i < coeff.Length; ++i)
{
int pos = coeff.Length - i - 1;
coeff[i] = hilb[pos] * window[i];
}
for (int ch = 0; ch < pcmDataImaginary.NumChannels; ++ch)
{
var pcm1ch = new double[pcmDataImaginary.NumFrames];
for (long i = 0; i < pcm1ch.Length; ++i)
{
pcm1ch[i] = pcmDataImaginary.GetSampleValueInDouble(ch, i);
}
// 少しずつFIRする。
var fir = new WWFirCpu();
fir.Setup(coeff, pcm1ch);
const int FIR_SAMPLE = 65536;
for (int offs = 0; offs < pcm1ch.Length; offs += FIR_SAMPLE)
{
int nSample = FIR_SAMPLE;
if (pcm1ch.Length < offs + nSample)
{
nSample = pcm1ch.Length - offs;
}
var pcmFir = new double[nSample];
fir.Do(offs - window.Length / 2, nSample, pcmFir);
// 結果を出力に書き込む。
for (long i = 0; i < pcmFir.Length; ++i)
{
var re = pcmFir[i];
pcmDataImaginary.SetSampleValueInDouble(ch, i + offs,
(float)(re));
}
// 進捗Update。
int percentage = (int)(
(100L * ch / pcmDataImaginary.NumChannels) +
(100L * (offs + 1) / pcm1ch.Length / pcmDataImaginary.NumChannels));
m_ASWorker.ReportProgress(percentage);
}
fir.Unsetup();
}
// 解析信号を出力。
m_analyticSignalList.Clear();
for (int ch = 0; ch < pcmDataReal.NumChannels; ++ch)
{
double [] signal = new double[pcmDataImaginary.NumFrames * 2];
for (long pos = 0; pos < pcmDataReal.NumFrames; ++pos)
{
signal[pos * 2 + 0] = pcmDataReal.GetSampleValueInDouble(ch, pos);
signal[pos * 2 + 1] = pcmDataImaginary.GetSampleValueInDouble(ch, pos);
}
m_analyticSignalList.Add(signal);
}
sw.Stop();
e.Result = "";
}