Revision as of 04:47, 11 December 2015 edit Shaddowffax (talk \| contribs) 159 edits →Motivation & Applications Tag: Visual edit ← Previous edit		Revision as of 04:58, 11 December 2015 edit undo Shaddowffax (talk \| contribs) 159 edits →Motivation & Applications Next edit →
Line 76: [[File:Screen Shot 2015-11-11 at 11.21.00 PM.png\|none\|thumb\|Typical Impulse Responses for Edge Detection]] [[File:~~edge_detection~~edge_detection2.png\|500px\|thumb\|Original image (left) and image after passing through edge-detecting filter (right) ~~Using MATLAB coins.jpg demo image <ref>http://www.mathworks.com/matlabcentral/answers/54439-list-of-builtin-demo-images</ref>~~\|none]] 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>

Multidimensional discrete convolution: Difference between revisions