arcov (Signal Processing Toolbox)

Estimate AR model parameters using covariance method

Syntax

```
a = arcov(x,p)
[a,e] = arcov(x,p)
```

Description

a = arcov(x,p) uses the covariance method to fit a pth order autoregressive (AR) model to the input signal, x, which is assumed to be the output of an AR system driven by white noise. This method minimizes the forward prediction error in the least-squares sense. Vector a contains the normalized estimate of the AR system parameters, A(z), in descending powers of z.

Because the method characterizes the input data using an all-pole model, the correct choice of the model order p is important.

[a,e] = arcov(x,p) returns the variance estimate, e, of the white noise input to the AR model.

See Also

arburg, armcov, aryule, lpc, pcov, prony

arburg armcov