In signal processing, multidimensional convolution refers to the mathematical operation between two functions f and g of n-dimensions that produces a third function, also of n-dimensions.
Definition
Problem Statement & Basics
Motivation & Applications
Row-Column Decomposition with Separable Signals
Separable Signals
Overlap and Add and Overlap and Save
The Helix Transform
References
Dudgeon, Dan; Mersereau, Russell (1983), Multidimensional Digital Signal Processing, Prentice-Hall
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Dudgeon, Dan; Mersereau, Russell (1983), Multidimensional Digital Signal Processing, Prentice-Hall