Numpy 1.13
Numpy 1.13
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numpy.convolve()

numpy.convolve

numpy.convolve(a, v, mode='full') [source]

Returns the discrete, linear convolution of two one-dimensional sequences.

The convolution operator is often seen in signal processing, where it models the effect of a linear time-invariant system on a signal [R17]. In probability theory, the sum of two independent random variables is distributed according to the convolution of their individual distributions.

If v is longer than a, the arrays are swapped before computation.

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