Near-lossless multichannel EEG compression based on matrix and tensor decompositions
A novel near-lossless compression algorithm for multichannel electroencephalogram (MC-EEG) is proposed based on matrix/tensor decomposition models. MC-EEG is represented in suitable multiway (multidimensional) forms to efficiently exploit temporal and spatial correlations simultaneously. Several mat...
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Main Authors: | , , , |
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其他作者: | |
格式: | Article |
語言: | English |
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2013
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主題: | |
在線閱讀: | https://hdl.handle.net/10356/101371 http://hdl.handle.net/10220/18355 |
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機構: | Nanyang Technological University |
語言: | English |