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New comparators of the Hamming weight of binary vectors built using threshold circuits are proposed. One version compares the Hamming weight of a binary vector to a fixed threshold, whereas the other compares the Hamming weights of two independent vectors. Their applications include digital neural networks, pattern matching and median/rank filters.
Date of Publication: May 24 2007