SignalUtils::ArCovariance Function

void ArCovariance(TVec Src, int Order, TVec a, double &E);

Covariance method for autoregressive parameter estimation.

#	Name	Type
1	Src	TVec *
2	Order	int
3	a	TVec *
4	E	double &

Remarks:

The AR parameters are estimated by minimizing an estimate of the prediction error power, but uses less data points then Yull-Walker (autocorrelation method) estimator. The covariance method can accurately extract frequencies of pure sinusoids.
Src contains the data on which the autoregressive parameter estimation (placed in A) should be based. Order defines the Order of the autoregressive process. E is the prediction error.

References:

[1] Modern spectral estimation, Steven M. Kay, Prentice-Hall, Page 221

Declared in Dew::Signal::Units::SignalUtils · Dew.Signal/Units.SignalUtils.h · Cross-compiler

void ArCovariance(TVec *Src, int Order, TVec *a, double &E);

void ArCovariance(TVec Src, int Order, TVec a, double &E);