FPGA Implementation of Four-Channel ICA for On-line EEG Signal Separation
碩士 === 國立交通大學 === 電機與控制工程系所 === 97 === Blind source separation of independent sources from their mixtures is a common problem for multi-sensor applications in real world, for example, speech or biomedical signal processing. This thesis presents an independent component analysis (ICA) method with inf...
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| Format: | Others |
| Language: | en_US |
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2008
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| Online Access: | http://ndltd.ncl.edu.tw/handle/82643939899343140230 |