A Time-Domain Subspace Technique for Estimating Visual Evoked Potential Latencies
Estimating a visual evoked potential (VEP) from the human brain is challenging since its signal-to-noise ratio (SNR) is generally very low. An optimization and eigen-decomposition-based subspace approach has been investigated and tested to estimate the latencies of visual evoked potential (VEP) sign...
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| Main Authors: | , |
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| 格式: | Citation Index Journal |
| 出版: |
2010
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| 主題: | |
| 在線閱讀: | http://eprints.utp.edu.my/1133/1/zuki_ijcsns_1.pdf http://ijcsns.org/ http://eprints.utp.edu.my/1133/ |
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