Multidimensional discrete convolution: Difference between revisions

Revision as of 23:45, 7 November 2015

Revision as of 23:48, 7 November 2015

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<math>x(n_1,n_2)**h(n_1,n_2)=[x(n_1)*h(n_1)][x(n_2)*h(n_2)]</math>

This conclusion can then be extended to the convolution of two ''M''-dimensional signals as follows:

<math>x(n_1,n_2,...,n_M)*...*h(n_1,n_2,n_M)=[x(n_1)*h(n_2)][x(n_2)*h(n_2)]...[x(n_M)*h(n_M)]</math>

===Row-Column Decomposition===