Robust identification of a nonminimum phase system: Blind adjustment of a linear equalizer in data communications

Sensitivity (robustness) (93B35) Linear systems in control theory (93C05) Identification in stochastic control theory (93E12) Communication theory (94A05) Model systems in control theory (93C99)

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Identification of non-minimum phase linear stochastic systems ⋮ Local minima escape transients by stochastic gradient descent algorithms in blind adaptive equalizers ⋮ ESTIMATION AND BLIND DECONVOLUTION OF AUTOREGRESSIVE SYSTEMS WITH NONSTATIONARY BINARY INPUTS ⋮ Consistent order selection for noncausal autoregressive models via higher-order statistics ⋮ Consistent parameter estimation for non-causal autoregressive models via higher-order statistics ⋮ ARMA modeling of fourth-order cumulants and phase estimation ⋮ Estimation and deconvolution when the transfer function has zeros ⋮ Direct multiple-channel blind equalization ⋮ A closed approximated formed expression for the achievable residual intersymbol interference obtained by blind equalizers ⋮ Improved phase estimation based on complete bispectrum and modified group delay ⋮ Analysis of a novel density matching criterion within the ITL framework for blind channel equalization ⋮ Spectral factorization using FFTs for large‐scale problems ⋮ Analysis and performance of CMA blind deconvolution for image restoration ⋮ Correntropy: Implications of nonGaussianity for the moment expansion and deconvolution ⋮ Totally blind channel identification by exploiting guard intervals ⋮ Recusrsive prediction error identification using the nonlinear Wiener model ⋮ Maximum likelihood estimation for non-minimum-phase noise transfer function with Gaussian mixture noise distribution ⋮ Semi-parametric estimation of a stationary, non-necessary causal AR(P) process with infinite variance ⋮ Blind deconvolution by a Newton method on the non-unitary hypersphere

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