Ayrimsal Ortak Uzamsal Örüntüler Metodu

Translated title of the contribution: Divergent common spatial patterns method

Mecit Emre Duman, Ayhan Yuksel, Tamer Olmez

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

In this study, a novel method called DIVCSP is proposed that can be a good alternative to the spatial filtering methods which are used to have a good discrimination between different classes in motor imagery based brain computer interfaces. With DIVCSP method spatial filters that increase between classes scattering while decreasing in-class scattering can be obtained thus, the classification accuracy can be increased. The classification results obtained with DIVCSP show that, proposed method is a good alternative to CSP method which is widely popular.

Translated title of the contributionDivergent common spatial patterns method
Original languageTurkish
Title of host publication2015 23rd Signal Processing and Communications Applications Conference, SIU 2015 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages612-615
Number of pages4
ISBN (Electronic)9781467373869
DOIs
Publication statusPublished - 19 Jun 2015
Event2015 23rd Signal Processing and Communications Applications Conference, SIU 2015 - Malatya, Turkey
Duration: 16 May 201519 May 2015

Publication series

Name2015 23rd Signal Processing and Communications Applications Conference, SIU 2015 - Proceedings

Conference

Conference2015 23rd Signal Processing and Communications Applications Conference, SIU 2015
Country/TerritoryTurkey
CityMalatya
Period16/05/1519/05/15

Bibliographical note

Publisher Copyright:
© 2015 IEEE.

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