C++ (Cpp) SSCP_to_PCA Examples

Example #1

File: EEG_extensions.cpp Project: arizona-phonological-imaging-lab/ultrapraat

PCA EEG_to_PCA (EEG me, double startTime, double endTime, const wchar_t *channelRanges, int fromCorrelation) {
	try {
		autoCovariance cov = EEG_to_Covariance (me, startTime, endTime, channelRanges);
		if (fromCorrelation) {
			autoCorrelation cor = SSCP_to_Correlation (cov.peek());
			autoPCA him = SSCP_to_PCA (cor.peek());
			return him.transfer();
		} else {
			autoPCA him = SSCP_to_PCA (cov.peek());
			return him.transfer();
		}
	} catch (MelderError) {
		Melder_throw (me, ": no PCA calculated.");
	}
}

Example #2

File: EEG_extensions.cpp Project: READSEARCH/praat

autoPCA EEG_to_PCA (EEG me, double startTime, double endTime, const char32 *channelRanges, int fromCorrelation) {
	try {
		autoCovariance cov = EEG_to_Covariance (me, startTime, endTime, channelRanges);
		autoPCA him;
		if (fromCorrelation) {
			autoCorrelation cor = SSCP_to_Correlation (cov.get());
			him = SSCP_to_PCA (cor.get());
		} else {
			him = SSCP_to_PCA (cov.get());
		}
		return him;
	} catch (MelderError) {
		Melder_throw (me, U": no PCA calculated.");
	}
}

Example #3

File: ICA.cpp Project: guilhermegarcia/praat-1

autoSound Sound_and_Covariance_whitenChannels (Sound me, Covariance thee, double varianceFraction) {
    try {
        autoPCA pca = SSCP_to_PCA (thee);
        long numberOfComponents = Eigen_getDimensionOfFraction (pca.peek(), varianceFraction);
        autoSound him = Sound_and_PCA_whitenChannels (me, pca.peek(), numberOfComponents);
        return him;
    } catch (MelderError) {
        Melder_throw (me, U": not whitened from ", thee);
    }
}