Transfer function estimation using elemental sets

Nonlinear least-squares (NLS) fitting of rational transfer functions to frequency response data yields the maximum likelihood estimator (MLE) of the transfer function coefficient vector under mild conditions on the observation noise. Furthermore, the NLS approach is robust to errors in the modeling ... View More