This article is concerned with the identification of autoregressive models exogenous inputs (ARX). Most existing approaches like prediction error minimization and state-space framework are widely accepted utilized to estimate ARX but known deliver unbiased consistent parameter estimates for a correctly supplied guess input-output orders delay. In this paper, we propose novel automated spectral ...

We consider a finite element method for elliptic equations with heterogeneous and possibly high-contrast coefficients based on primal hybrid formulation. assume minimal regularity of the solutions. A space decomposition as in FETI BDCC induces an embarrassingly parallel preprocessing leads to final system size independent coefficients. The resulting solution is equilibrium, all PDEs involved ar...

A speech enhancement system which utilizes an optimal (in the minimum mean square error sense) short-time spectral amplitude estimetor is described. The derivation of the optimal estimator is based on modeling speech es a quasi-periodic signal, and on applying spectral decomposition. The optimal spectral amplitude estimator and a recently developed vector spectral subtraction amplitude estimato...