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