Application the Recursive Extended Least Squares Method for Modelling a Speech Signal
نویسندگان
چکیده
In this article we will present a detailed study of recursive extended least squares method (RELS) to identify without bias of the models (system + disturbance). The idea is simultaneously to identify the model of the system and the model of the disturbance to obtain asymptotically a white error of prediction, which guarantees an unbiased estimate of the parameters system. Then we choose an application of this algorithm to identify the parameters of auto regressive model AR associated to the speech signal.
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