Description: Accurate estimates of the autocorrelation or power spectrum can be obtained with a parametric model (AR, MA or ARMA). With automatic inference, not only the model parameters but also the model structure are determined from the data. It is assumed that the ARMASA toolbox is presen
- [ARMODEL] - Power Spectral Estimation of very extens
- [psd] - calculated ARMA (p, q) model of the powe
- [periodogramestimate] - Generate 100 samples of a zero-mean whit
- [NJNUAYAARPOWER] - marburg.c using Burg algorithm for AR mo
- [WienerFilter] - 1 Wiener filter design, the estimated AR
- [puguji] - Modern Spectral Estimation of source, in
- [AR] - The use of autoregressive moving average
- [arma_wind] - For generating wind speed model in ARMA
- [AR11] - AR model parameters as well as a variety
- [Autocorrelation] - Commonly used in seismic data processing
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