Work

Tensor decompositions for signal processing: Theory, advances, and applications

Year: 2025

Type: article

Source: Signal Processing

DOI: 10.1016/j.sigpro.2025.110191

Authors: Neriman Tokcan, Shakir Showkat Sofi, Van Tien Pham, Clémence Prévost, Sofiane Kharbech, Baptiste Magnier, Thanh Phuong Nguyen, Yassine Zniyed, Lieven De Lathauwer

Institutions: University of Massachusetts Boston, KU Leuven, Centre National de la Recherche Scientifique, Université de Toulon, Aix-Marseille Université, Laboratoire d’Informatique et Systèmes, Université de Lille, Centre de Recherche en Informatique, Signal et Automatique de Lille, Centrale Lille Institut, Huawei Technologies (France), Université de Montpellier, IMT Mines Alès, EuroMov Digital Health in Motion, Université Côte d'Azur, Laboratoire d'Informatique, Signaux et Systèmes de Sophia Antipolis

Language: English

Topic: Tensor decomposition and applications

Subfield: Computational Mathematics

Field: Mathematics

Domain: Physical Sciences

Open Access status: green

Funders: KU Leuven, Vlaamse regering

Awards: G4869584417, G5002562366, Development of an advanced harmonic light scattering platform for the study of self-assembly processes, Between linear and nonlinear: new tensor perspectives, G7424168635, Tensor Tools for Taming the Curse, G757574617

OpenAlex ID: W4412495604

FWCI: 7.229

Cites: 258

Cited by: 15

Related to: 10