TENSOR BASED SINGULAR SPECTRUM ANALYSIS FOR NONSTATIONARY SOURCE SEPARATION

Kouchaki, S and Sanei, S (2013) TENSOR BASED SINGULAR SPECTRUM ANALYSIS FOR NONSTATIONARY SOURCE SEPARATION 2013 IEEE INTERNATIONAL WORKSHOP ON MACHINE LEARNING FOR SIGNAL PROCESSING (MLSP).

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Item Type:	Article
Authors :	Name Email ORCID Kouchaki, S UNSPECIFIED UNSPECIFIED Sanei, S s.sanei@surrey.ac.uk UNSPECIFIED
Date :	1 January 2013
Identification Number :	https://doi.org/10.1109/MLSP.2013.6661921
Contributors :	Contribution Name Email ORCID UNSPECIFIED Sanei, S s.sanei@surrey.ac.uk UNSPECIFIED UNSPECIFIED Smaragdis, P UNSPECIFIED UNSPECIFIED UNSPECIFIED Nandi, A UNSPECIFIED UNSPECIFIED UNSPECIFIED Ho, ATS UNSPECIFIED UNSPECIFIED UNSPECIFIED Larsen, J UNSPECIFIED UNSPECIFIED
Uncontrolled Keywords :	Science & Technology, Technology, Computer Science, Theory & Methods, Engineering, Electrical & Electronic, Computer Science, Engineering, PARAFAC, SSA, source separation, tensor factorization
Related URLs :	Author
Depositing User :	Symplectic Elements
Date Deposited :	17 May 2017 13:12
Last Modified :	17 May 2017 15:09
URI:	http://epubs.surrey.ac.uk/id/eprint/838364

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