SSVEP‐based BCI classification using power cepstrum analysis
Author:
Affiliation:
1. Department of Electrical EngineeringSouthern Taiwan University of Science and TechnologyNo. 1, Nan‐Tai Street, Yungkang DistrictTainan710Taiwan
Funder
National Science Council
Publisher
Institution of Engineering and Technology (IET)
Subject
Electrical and Electronic Engineering
Link
https://onlinelibrary.wiley.com/doi/pdf/10.1049/el.2014.0173
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3. A survey of stimulation methods used in SSVEP‐Based BCIs;Zhu D.;Comput. Intel. Neuro.,2010
4. Review: recent development of signal processing algorithms for SSVEP‐based brain computer interfaces;Liu Q.;J. Med. Biol. Eng.,2013
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