Wavelet - Based Identification
نویسنده
چکیده
Discrete-time linear time-varying systems are modeled by discrete-time wavelets. The output of the unknown system is corrupted by noise. The system model parameters are estimated by the least squares method applied to the output error. Conditions are derived that provide vanishing innuence of the output noise to the parameter estimates. Due to the time-frequency selectivity of wavelets, parameter estimates can be robust to narrow-band noise and/or impulse noise. This robustness is connrmed by simulations.
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تاریخ انتشار 2007