Multi-channel EEG compression based on matrix and tensor decompositions

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 r...

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Bibliographic Details
Main Authors: Srinivasan, K., Dauwels, Justin, Reddy, M. Ramasubba, Cichocki, Andrzej
Other Authors: School of Electrical and Electronic Engineering
Format: Conference Paper
Language:English
Published: 2013
Subjects:
DRNTU::Engineering::Electrical and electronic engineering::Electronic systems::Signal processing
Online Access:https://hdl.handle.net/10356/101285
http://hdl.handle.net/10220/18354

Internet

https://hdl.handle.net/10356/101285
http://hdl.handle.net/10220/18354

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