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ICASSP
2011
IEEE

Multi-channel EEG compression based on matrix and tensor decompositions

8 years 11 months ago
Multi-channel EEG compression based on matrix and tensor decompositions
Compression schemes for EEG signals are developed based on matrix and tensor decomposition. Various ways to arrange EEG signals into matrices and tensors are explored, and several matrix and tensor decomposition schemes are applied, including SVD, CUR, PARAFAC, the Tucker decomposition, and recent random fiber selection approaches. Rate-distortion curves for the proposed matrix and tensor-based EEG compression schemes are computed. It shown that PARAFAC has the best compression performance in this context.
Justin Dauwels, K. Srinivasan, M. Ramasubba Reddy,
Added 21 Aug 2011
Updated 21 Aug 2011
Type Journal
Year 2011
Where ICASSP
Authors Justin Dauwels, K. Srinivasan, M. Ramasubba Reddy, Andrzej Cichocki
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