Abstract: Analog compute-in-memory (ACiM) systems show promise for energy-efficient AI inference, but their performance is hindered by variations in conductance, resulting in reduced accuracy. This ...
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 ...
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