An Adaptive Noise Cancellation System Based on Linear and Widely Linear Complex Valued Least Mean Square Algorithms for Removing Electrooculography Artifacts from Electroencephalography Signals

An Adaptive Noise Cancellation System Based on Linear and Widely Linear Complex Valued Least Mean Square Algorithms for Removing Electrooculography Artifacts from Electroencephalography Signals

In this study, an adaptive noise cancellation (ANC) system based on linear and widely linear (WL) complex valued least mean square (LMS) algorithms is designed for removing electrooculography (EOG) artifacts from electroencephalography (EEG) signals. The real valued EOG and EEG signals (Fp1 and Fp2)...

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Bibliographic Details
Main Authors: Engin Cemal MENGÜÇ, Salim ÇINAR, Nurettin ACIR
Format: Article
Language:English
Published: Gazi University 2018-03-01
Series:Gazi Üniversitesi Fen Bilimleri Dergisi
Subjects:
Complex domain
Noise cancellation
Widely linear model
Online Access:http://dergipark.gov.tr/download/article-file/435276

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