Tensor Factorisation Approach for Separation of Convolutive Complex Communication Signals

S Kouchaki; S Sanei

doi:10.1007/978-3-319-22482-4_7

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Tensor Factorisation Approach for Separation of Convolutive Complex Communication Signals

Conference presentation

Peer reviewed

Tensor Factorisation Approach for Separation of Convolutive Complex Communication Signals

S Kouchaki and S Sanei

LATENT VARIABLE ANALYSIS AND SIGNAL SEPARATION, LVA/ICA 2015, Vol.9237, pp.56-63

12th International Conference on Latent Variable Analysis and Signal Separation (LVA/ICA) (Tech Univ Liberec, Liberec, CZECH REPUBLIC, 25/08/2015 - 28/08/2015)

01/01/2015

DOI: https://doi.org/10.1007/978-3-319-22482-4_7

Abstract

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

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Title: Tensor Factorisation Approach for Separation of Convolutive Complex Communication Signals
Creators: S Kouchaki
S Sanei
Contributors: E Vincent
A Yeredor
Z Koldovsky
P Tichavsky
SPRINGER-VERLAG BERLIN (Publisher)
Publication Details: LATENT VARIABLE ANALYSIS AND SIGNAL SEPARATION, LVA/ICA 2015, Vol.9237, pp.56-63
Conference: 12th International Conference on Latent Variable Analysis and Signal Separation (LVA/ICA) (Tech Univ Liberec, Liberec, CZECH REPUBLIC, 25/08/2015 - 28/08/2015)
Date published: 01/01/2015
Date submitted: 17/05/2017
Identifiers: 99513588402346
Academic Unit: University of Surrey
Resource Type: Conference presentation

Tensor Factorisation Approach for Separation of Convolutive Complex Communication Signals

Abstract

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