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In this paper, a new recursive identification method is proposed for the FIR linear system with quantized measurements, and without full the information of noise. In this problem, we will try to identify the coefficients of FIR system, the variance of output noise and the threshold of quantized sensor. The maximum likelihood estimate approach is used to deduce the efficient way to identify all unknown...
The paper concerns the identification of the multiple-input multiple-output (MIMO) Wiener system consisting of a linear subsystem followed by a static nonlinearity. Based on Fourier transform, the coefficient matrices of the linear subsystem is recursively estimated by stochastic approximation based principal component analysis (SABPCA) method with random inputs with possibly non-Gaussian distribution...
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