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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Bibliographic Details
Main Authors: Srinivasan, K., Dauwels, Justin, Reddy, M. Ramasubba, Cichocki, Andrzej
Other Authors: School of Electrical and Electronic Engineering
Format: Article
Language:English
Published: 2013
Subjects:
Online Access:https://hdl.handle.net/10356/101371
http://hdl.handle.net/10220/18355
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Institution: Nanyang Technological University
Language: English

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