New Spatially Constrained Source Separation using Tensor Decomposition

Kouchaki, S and Sanei, S (2013) New Spatially Constrained Source Separation using Tensor Decomposition 2013 18TH INTERNATIONAL CONFERENCE ON DIGITAL SIGNAL PROCESSING (DSP).

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Item Type:	Article
Divisions :	Surrey research (other units)
Authors :	Name Email ORCID Kouchaki, S Sanei, S s.sanei@surrey.ac.uk
Date :	1 January 2013
Uncontrolled Keywords :	Science & Technology, Technology, Computer Science, Theory & Methods, Engineering, Electrical & Electronic, Computer Science, Engineering, Common spatial patterns, PARAFAC, partially constrained, source separation, spatial filtering, ALGORITHM, EEG
Related URLs :	Author
Depositing User :	Symplectic Elements
Date Deposited :	17 May 2017 13:08
Last Modified :	24 Jan 2020 23:28
URI:	http://epubs.surrey.ac.uk/id/eprint/838060

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