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In addition to image processing, multidimensional convolution can be implemented to enable a variety of other applications. Since filters are widespread in digital communication systems, any system that must transmit multidimensional data is assisted by filtering techniques It is used in real-time video processing, neural network analysis, digital geophysical data analysis, and much more.<ref>{{Cite web|title = Digital Geophysical Analysis Redesign|url = http://www-rohan.sdsu.edu/~jiracek/DAGSAW/4.1.html|website = www-rohan.sdsu.edu|accessdate = 2015-11-12}}</ref>
One typical distortion that occurs during image and video capture or transmission applications is blur that is caused by a low-pass filtering process. The introduced blur can be modeled using Gaussian low-pass filtering.
[[File:Wiki image blur example.png|500px|thumb|Original image (left) and blurred image (right) performed using Gaussian convolution|none]]
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