Cross-correlation is a mathematical operation that measures the similarity between two signals as a function of the time-lag applied to one of them. It is useful in identifying patterns and relationships within signals, and can be seen as a way to determine how one signal influences another over time. This concept connects closely to convolution and multiplication properties, as it involves shifting and comparing signals to extract relevant information.
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