Enhanced Recursive Total Least Squares Method With Subspace Tracking and Noise Covariance Estimation
Abstract: In this letter, we present a novel recursive approach aimed at refining parameter estimation within the Errors-in-Variables (EIV) framework. Our method integrates the Weighted Total Least ...
Abstract: We apply the innovations method to Viterbi decoding of convolutional codes. First, we calculate the covariance matrix of the innovation (i.e., the soft-decision input to the main decoder in ...
New research reveals why even state-of-the-art large language models stumble on seemingly easy tasks—and what it takes to fix ...
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