Tensor methods for multisensor signal processing

Author:

Miron Sebastian1,Zniyed Yassine1,Boyer Rémy2,Lima Ferrer de Almeida André3,Favier Gérard4,Brie David1,Comon Pierre5

Affiliation:

1. Université de LorraineCNRS, CRANF‐54000 NancyFrance

2. Université de LilleCNRS, CRIStAL59655 LilleFrance

3. Department of Teleinformatics EngineeringFederal University of CearáFortalezaCE60440–900Brazil

4. Université de Côte d'AzurCNRSI3S LaboratorySophia AntipolisFrance

5. Université Grenoble AlpesCNRSGIPSA‐Lab38000GrenobleFrance

Publisher

Institution of Engineering and Technology (IET)

Subject

Electrical and Electronic Engineering,Signal Processing

Reference99 articles.

1. Foundations of the parafac procedure: models and conditions for an explanatory multimodal factor analysis;Harshman R.A.;UCLA Work. Pap. Phonetics,1970

2. Analysis of individual differences in multidimensional scaling via N‐way generalization of Eckart‐Young decomposition;Carroll J.D.;Psychometrika,1970

3. Unsupervised multiway data analysis: a literature survey;Acar E.;IEEE Trans. Knowl. Data Eng.,2008

4. Tensor decomposition for signal processing andmachine learning;Sidiropoulos N.;IEEE Trans. Signal Process.,2017

5. Parallel factor analysis in sensor array processing;Sidiropoulos N.D.;IEEE Trans. Signal Process.,2000

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