On tracking characteristics of weighted least squares estimators applied to nonstationary system identification

The parameter-tracking abilities of weighted-least-squares (WLS) estimators are characterized in terms of a suitably defined variability matrix and associated frequency characteristics. Using these concepts, the conflict arising between the estimation variance and estimation bandwidth is easily explained and quantified.<
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