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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).

Full text not available from this repository.
Item Type: Article
Authors :
NameEmailORCID
Kouchaki, SUNSPECIFIEDUNSPECIFIED
Sanei, Ss.sanei@surrey.ac.ukUNSPECIFIED
Date : 1 January 2013
Identification Number : https://doi.org/10.1109/MLSP.2013.6661921
Contributors :
ContributionNameEmailORCID
UNSPECIFIEDSanei, Ss.sanei@surrey.ac.ukUNSPECIFIED
UNSPECIFIEDSmaragdis, PUNSPECIFIEDUNSPECIFIED
UNSPECIFIEDNandi, AUNSPECIFIEDUNSPECIFIED
UNSPECIFIEDHo, ATSUNSPECIFIEDUNSPECIFIED
UNSPECIFIEDLarsen, JUNSPECIFIEDUNSPECIFIED
Uncontrolled Keywords : Science & Technology, Technology, Computer Science, Theory & Methods, Engineering, Electrical & Electronic, Computer Science, Engineering, PARAFAC, SSA, source separation, tensor factorization
Related URLs :
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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