Show simple item record

dc.contributor.advisorKachouie, Nezamoddin N.
dc.contributor.authorMelo, Marcus
dc.date2015-04
dc.date.accessioned2015-09-09T18:06:43Z
dc.date.available2015-09-09T18:06:43Z
dc.identifier.citationMelo, M. (2015, April). Applications of Random Matrices to Image Processing for Image Denoising. Poster presented at the Northrop Grumman Engineering & Science Student Design Showcase, Florida Institute of Technology, Melbourne, FL.en_US
dc.identifier.urihttp://hdl.handle.net/11141/736
dc.description.abstractRandom matrices were first introduced in studies related to mathematical statistics by Wishart, Hsu. Later, Dyson recognized that would be required a new type of statistical mechanics to describe the nuclear energy levels and Wigner in his seminal work modelling the spectra of heavy atoms found that random matrices were the answer to this problem. Moreover, Wigner stated his famous semicircle law, which describes the eigenvalue density for a gaussian ensemble of random matrices as depicted in Fig. 1. The goal here is to use random matrix theory for applications to image processing.en_US
dc.language.isoen_USen_US
dc.titleApplications of Random Matrices to Image Processing for Image Denoisingen_US
dc.typeposteren_US


Files in this item

Thumbnail

This item appears in the following Collection(s)

Show simple item record