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The sub-Nyquist estimation of line spectra is a classical problem in signal processing, but currently popular subspace-based techniques have few guarantees in the presence of noise and rely on a prior...
This paper concerns robust Kalman filtering for systems undernorm bounded uncertainties in all the system matrices and errorcovariance constraints. Sufficient conditions are given for theexistence of ...
A robustness analysis of the MUSIC and the MiniNorm algorithms with respect to spatially correlated noise in array processing is presented in this paper. Let the covariance matrix of correlated noise ...
ASYMPTOTICS OF THE “MINIMUM L_1-NORM”ESTIMATES IN A PARTLY LINEAR MODEL          font style='font-size:12px;'> 2007/8/7
This paper is concerned with the L1-norm estimators for the partly linear modelwhere (T_1,X_1, Y_1),…(T_n, X_n, Y_n) are independent random(d +2)-vectors such that K_i is real-valued, X_i is a d-vecto...
ASYMPTOTIC PROPERTIES OF L_1-NORM KERNEL ESTIMATOR OF THE CONDITIONAL MEDIAN          font style='font-size:12px;'> 2007/8/7
Let (X,Y) be a pair of R~d×R~1-valued random variables. In thispaper we investigate the asymptotic properties of the L_1-norm kernel estimator of the conditional median function of Y on X. Under appro...

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