- SingularSpectrumAnalysisSpectrum
- SingularSpectrumAnalysisForecast
- SingularSpectrumAnalysisReconstructComponents
- SingularSpectrumAnalysisReconstructSeries
SingularSpectrumAnalysisSpectrum
A method function for calculating the relative contributions of spectral components based on their eigenvalues.
Calculations for vector<double> type
bool vector::SingularSpectrumAnalysisSpectrum(
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Calculations for vector<complex> type
bool vector::SingularSpectrumAnalysisSpectrum(
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Parameters
window_length
[in] Window size for constructing the trajectory matrix, the number of components the input time series should be decomposed into.
spectrum
[out] Vector of component contributions to the input series - eigenvalues of the covariance matrix of the input time series.
Return Value
The function returns 'true' on success or 'false' if an error occurs.
Note
The window_length parameter value should be less than the size of the input time series. To construct a full-fledged trajectory matrix, the optimal size is considered to be approximately equal to half the size of the input time series.