Multidimensional discrete convolution: Difference between revisions

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<math>\delta(n_1,n_2,...,n_M)=\delta(n_1)\delta(n_2)...\delta(n_M)</math> (delta-dirac impulse function)
 
Convolution is a linear operation. It then follows that the multidimensional convolution of separable signals can be expressed as the product of many one-dimensional convolutions. For example, consider the case where ''x'' and ''h'' are both separable functions.
 
==Overlap and Add and Overlap and Save==