Multi-channel EEG compression based on 3D decompositions
Various compression algorithms for multi-channel electroencephalograms (EEG) are proposed and compared. The multi-channel EEG is represented as a three-way tensor (or 3D volume) to exploit both spatial and temporal correlations efficiently. A general two-stage coding framework is developed for multi...
| Main Authors: | , , , |
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| 其他作者: | |
| 格式: | Conference Paper |
| 語言: | English |
| 出版: |
2013
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| 主題: | |
| 在線閱讀: | https://hdl.handle.net/10356/101286 http://hdl.handle.net/10220/18348 |