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, Multidimensional Digital Signal Processing