Khaled Asswad

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This paper describes real time methods to restore two dimensional (2D) uniformly sampled signals with randomly missing observations. It is based upon auto regressive (AR) modeling. The model parameters are estimated by means of an LMS-like algorithm adapted to the case of the non uniform context. Missing samples are replaced by their estimate. The criterion(More)
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