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Orthogonal Segmented Model for Underdetermined Blind Identification and Separation of Sources with Sparse Events

Makkiabadi, B and Sanei, S (2013) Orthogonal Segmented Model for Underdetermined Blind Identification and Separation of Sources with Sparse Events 2013 IEEE INTERNATIONAL WORKSHOP ON MACHINE LEARNING FOR SIGNAL PROCESSING (MLSP).

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Item Type: Article
Authors :
NameEmailORCID
Makkiabadi, BUNSPECIFIEDUNSPECIFIED
Sanei, Ss.sanei@surrey.ac.ukUNSPECIFIED
Date : 1 January 2013
Identification Number : 10.1109/MLSP.2013.6661928
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, Underdetermined blind identification, blind source separation, k(a)-SCA sparse component analysis, tensor factorization, INDIVIDUAL-DIFFERENCES, DECOMPOSITION, MIXTURES, CANDECOMP/PARAFAC, UNIQUENESS, MATRICES
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/838363

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