A PCA Aided Cross-Covariance Scheme for Discriminative Feature Extraction from EEG Signals

Full text for this resource is not available from the Research Repository.

Zarei, Roozbeh, He, Jing, Siuly, Siuly ORCID: 0000-0003-2491-0546 and Zhang, Yanchun ORCID: 0000-0002-5094-5980 (2017) A PCA Aided Cross-Covariance Scheme for Discriminative Feature Extraction from EEG Signals. Computer Methods and Programs in Biomedicine, 146. 47 - 57. ISSN 0169-2607

Dimensions Badge

Altmetric Badge

Item type Article
URI https://vuir.vu.edu.au/id/eprint/35413
DOI 10.1016/j.cmpb.2017.05.009
Official URL http://www.sciencedirect.com/science/article/pii/S...
Subjects Historical > FOR Classification > 0801 Artificial Intelligence and Image Processing
Historical > FOR Classification > 0906 Electrical and Electronic Engineering
Historical > Faculty/School/Research Centre/Department > Centre for Applied Informatics
Current > Division/Research > College of Science and Engineering
Keywords principal component analysis; electroencephalography
Citations in Scopus 40 - View on Scopus
Download/View statistics View download statistics for this item

Search Google Scholar

Repository staff login