Convolution power is a concept used primarily in the field of probability theory and signal processing. It refers to the repeated application of the convolution operation to a probability distribution or a function. The convolution of two functions (or distributions) combines them into a new function that reflects the overlap of their values, effectively creating a new distribution that represents the sum of independent random variables, for example.
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