FIELD: information technology.
SUBSTANCE: method involves calculating distance between the first feature vector and the second feature vector, both the first feature vector and the second feature vector comprising a feature value of a second dimension, wherein a weight coefficient is used that gives higher weight to the first dimension than to the second dimension. The weight coefficient depends on features of the set of signals.
EFFECT: more accurate calculation of a similarity metric.
6 cl, 2 dwg
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