Abstract
In this paper, two distortion measures, based on the well known statistical Log Likelihood Ratio (LLR) criterion are presented. The first one is developed for non-stationary scalar processes, represented by a Time Varying Autoregressive (TV AR) model and the second for stationary vector processes, represented by a Multichannel Autoregressive (MC AR) model. The asymptotic distribution of the proposed measures is briefly discussed.
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