A finite-step global convergence algorithm for the parameter estimation of multichannel MA processes

An iterative algorithm for the identification of multichannel moving average (MA) processes using higher-order statistics is proposed. It is shown that the algorithm has a finite-step global convergence property. Three multichannel MA models, including one nonminimum-phase MA model, are estimated by this algorithm with satisfactory performances.<
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