void ArCovariance(TVec Src, Int32 Order, TVec a, ref Double E)
Covariance method for autoregressive parameter estimation.
| # | Name | Type | Description |
|---|---|---|---|
| 1 | Src | TVec | source TVec |
| 2 | Order | Int32 | |
| 3 | a | TVec | source TVec |
| 4 | E | Double (ref) | output |
Result: stored in self (calling object)
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