Dynamic spectral analysis based on an autoregressive model with time-varying coefficients

A method of dynamic spectral analysis based on an autoregressive model with time-varying coefficients is presented. For parameter estimation a method simpler than the Kalman approach is introduced. The capability of the estimation procedure is where demonstrated by applying it to simulated data.