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...
| Main Authors: | , |
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| Format: | Citation Index Journal |
| Language: | English |
| Published: |
2010
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| Subjects: | |
| Online Access: | http://scholars.utp.edu.my/id/eprint/1133/ http://scholars.utp.edu.my/id/eprint/1133/1/zuki_ijcsns_1.pdf |