CrossCorrelationTable EEG_to_CrossCorrelationTable (EEG me, double startTime, double endTime, double lagTime, const wchar_t *channelRanges)
{
try {
// autowindow
if (startTime == endTime) {
startTime = my xmin; endTime = my xmax;
}
// don't allow times outside domain
if (startTime < my xmin) {
startTime = my xmin;
}
if (endTime > my xmax) {
endTime = my xmax;
}
autoEEG thee = my f_extractPart (startTime, endTime, true);
long numberOfChannels;
autoNUMvector <long> channels (NUMstring_getElementsOfRanges (channelRanges, thy d_numberOfChannels, & numberOfChannels, NULL, L"channel", true), 1);
autoSound soundPart = Sound_copyChannelRanges (thy d_sound, channelRanges);
autoCrossCorrelationTable him = Sound_to_CrossCorrelationTable (soundPart.peek(), startTime, endTime, lagTime);
// assign channel names
for (long i = 1; i <= numberOfChannels; i++) {
long ichannel = channels[i];
wchar_t *label = my d_channelNames[ichannel];
TableOfReal_setRowLabel (him.peek(), i, label);
TableOfReal_setColumnLabel (him.peek(), i, label);
}
return him.transfer();
} catch (MelderError) {
Melder_throw (me, ": no CrossCorrelationTable calculated.");
}
}
Sound EEG_to_Sound_modulated (EEG me, double baseFrequency, double channelBandwidth, const wchar_t *channelRanges) {
try {
long numberOfChannels;
autoNUMvector <long> channelNumbers (NUMstring_getElementsOfRanges (channelRanges, my d_numberOfChannels, & numberOfChannels, NULL, L"channel", true), 1);
double maxFreq = baseFrequency + my d_numberOfChannels * channelBandwidth;
double samplingFrequency = 2 * maxFreq;
samplingFrequency = samplingFrequency < 44100 ? 44100 : samplingFrequency;
autoSound thee = Sound_createSimple (1, my xmax - my xmin, samplingFrequency);
for (long i = 1; i <= numberOfChannels; i++) {
long ichannel = channelNumbers[i];
double fbase = baseFrequency;// + (ichannel - 1) * channelBandwidth;
autoSound si = Sound_extractChannel (my d_sound, ichannel);
autoSpectrum spi = Sound_to_Spectrum (si.peek(), 1);
Spectrum_passHannBand (spi.peek(), 0.5, channelBandwidth - 0.5, 0.5);
autoSpectrum spi_shifted = Spectrum_shiftFrequencies (spi.peek(), fbase, samplingFrequency / 2, 30);
autoSound resampled = Spectrum_to_Sound (spi_shifted.peek());
long nx = resampled -> nx < thy nx ? resampled -> nx : thy nx;
for (long j = 1; j <= nx; j++) {
thy z[1][j] += resampled -> z[1][j];
}
}
Vector_scale (thee.peek(), 0.99);
return thee.transfer();
} catch (MelderError) {
Melder_throw (me, ": no playable sound created.");
}
}
CrossCorrelationTables EEG_to_CrossCorrelationTables (EEG me, double startTime, double endTime, double lagTime, long ncovars, const wchar_t *channelRanges) {
try {
// autowindow
if (startTime == endTime) {
startTime = my xmin; endTime = my xmax;
}
// don't allow times outside domain
if (startTime < my xmin) {
startTime = my xmin;
}
if (endTime > my xmax) {
endTime = my xmax;
}
autoEEG thee = my f_extractPart (startTime, endTime, true);
long numberOfChannels;
autoNUMvector <long> channels (NUMstring_getElementsOfRanges (channelRanges, thy d_numberOfChannels, & numberOfChannels, NULL, L"channel", true), 1);
autoSound soundPart = Sound_copyChannelRanges (thy d_sound, channelRanges);
autoCrossCorrelationTables him = Sound_to_CrossCorrelationTables (soundPart.peek(), startTime, endTime, lagTime, ncovars);
return him.transfer();
} catch (MelderError) {
Melder_throw (me, ": no CrossCorrelationTables calculated.");
}
}
autoCrossCorrelationTableList EEG_to_CrossCorrelationTableList (EEG me, double startTime, double endTime, double lagStep, long ncovars, const char32 *channelRanges) {
try {
// autowindow
if (startTime == endTime) {
startTime = my xmin; endTime = my xmax;
}
// don't allow times outside domain
if (startTime < my xmin) {
startTime = my xmin;
}
if (endTime > my xmax) {
endTime = my xmax;
}
autoEEG thee = EEG_extractPart (me, startTime, endTime, true);
long numberOfChannels;
autoNUMvector <long> channels (NUMstring_getElementsOfRanges (channelRanges, thy numberOfChannels, & numberOfChannels, nullptr, U"channel", true), 1);
autoSound soundPart = Sound_copyChannelRanges (thy sound.get(), channelRanges);
autoCrossCorrelationTableList him = Sound_to_CrossCorrelationTableList (soundPart.get(), startTime, endTime, lagStep, ncovars);
return him;
} catch (MelderError) {
Melder_throw (me, U": no CrossCorrelationTables calculated.");
}
}
EEG EEG_to_EEG_bss (EEG me, double startTime, double endTime, long ncovars, double lagTime, const wchar_t *channelRanges, int whiteningMethod, int diagonalizerMethod, long maxNumberOfIterations, double tol) {
try {
// autowindow
if (startTime == endTime) {
startTime = my xmin; endTime = my xmax;
}
// don't allow times outside domain
if (startTime < my xmin) {
startTime = my xmin;
}
if (endTime > my xmax) {
endTime = my xmax;
}
long numberOfChannels;
autoNUMvector <long> channelNumbers (NUMstring_getElementsOfRanges (channelRanges, my d_numberOfChannels, & numberOfChannels, NULL, L"channel", true), 1);
autoEEG thee = my f_extractPart (startTime, endTime, true);
if (whiteningMethod != 0) {
bool fromCorrelation = whiteningMethod == 2;
autoPCA pca = EEG_to_PCA (thee.peek(), thy xmin, thy xmax, channelRanges, fromCorrelation);
autoEEG white = EEG_and_PCA_to_EEG_whiten (thee.peek(), pca.peek(), 0);
thee.reset (white.transfer());
}
autoMixingMatrix mm = Sound_to_MixingMatrix (thy d_sound, startTime, endTime, ncovars, lagTime, maxNumberOfIterations, tol, diagonalizerMethod);
autoEEG him = EEG_copyWithoutSound (me);
his d_sound = Sound_and_MixingMatrix_unmix (my d_sound, mm.peek());
EEG_setChannelNames_selected (him.peek(), L"ic", channelNumbers.peek(), numberOfChannels);
// Calculate the cross-correlations between eye-channels and the ic's
return him.transfer();
} catch (MelderError) {
Melder_throw (me, ": no independent components determined.");
}
}
