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Tensor Factorisation Approach for Separation of Convolutive Complex Communication Signals

Kouchaki, S and Sanei, S (2015) Tensor Factorisation Approach for Separation of Convolutive Complex Communication Signals In: 12th International Conference on Latent Variable Analysis and Signal Separation (LVA/ICA), 2015-08-25 - 2015-08-28, Tech Univ Liberec, Liberec, CZECH REPUBLIC.

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Item Type: Conference or Workshop Item (UNSPECIFIED)
Authors :
NameEmailORCID
Kouchaki, SUNSPECIFIEDUNSPECIFIED
Sanei, Ss.sanei@surrey.ac.ukUNSPECIFIED
Date : 1 January 2015
Identification Number : https://doi.org/10.1007/978-3-319-22482-4_7
Contributors :
ContributionNameEmailORCID
UNSPECIFIEDVincent, EUNSPECIFIEDUNSPECIFIED
UNSPECIFIEDYeredor, AUNSPECIFIEDUNSPECIFIED
UNSPECIFIEDKoldovsky, ZUNSPECIFIEDUNSPECIFIED
UNSPECIFIEDTichavsky, PUNSPECIFIEDUNSPECIFIED
publisherSPRINGER-VERLAG BERLIN, UNSPECIFIEDUNSPECIFIED
Uncontrolled Keywords : Science & Technology, Technology, Computer Science, Artificial Intelligence, Computer Science, Information Systems, Computer Science, Theory & Methods, Computer Science, Augmented statistics, Complex valued signals, Convolutive mixtures, Noncircularity level, Phase shift keying, Tensor factorisation, BLIND SEPARATION, ALGORITHM
Related URLs :
Depositing User : Symplectic Elements
Date Deposited : 17 May 2017 13:45
Last Modified : 17 May 2017 15:12
URI: http://epubs.surrey.ac.uk/id/eprint/840267

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