Tensor methods for multisensor signal processing

Over the last two decades, tensor-based methods have received growing attention in the signal processing community. In this work, the authors proposed a comprehensive overview of tensor-based models and methods for multisensor signal processing. They presented for instance the Tucker decomposition,...

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Detalhes bibliográficos
Autores: Miron, Sebastian, Zniyed, Yassine, Boyer, Rémy, Almeida, André Lima Férrer de, Favier, Gérard, Brie, David, Comon, Pierre
Formato: artículo
Estado:Versión publicada
Fecha de publicación:2020
País:Brasil
Recursos:Universidade Federal do Ceará (UFC)
Repositorio:Repositório Institucional da Universidade Federal do Ceará (UFC)
Idioma:inglés
OAI Identifier:oai:repositorio.ufc.br:riufc/67188
Acesso em linha:http://www.repositorio.ufc.br/handle/riufc/67188
Access Level:acceso abierto
Palavra-chave:Tensor-Based methods
Multisensor signal process
Tucker decomposition
Tensors
Descrição
Resumo:Over the last two decades, tensor-based methods have received growing attention in the signal processing community. In this work, the authors proposed a comprehensive overview of tensor-based models and methods for multisensor signal processing. They presented for instance the Tucker decomposition, the canonical polyadic decomposition, the tensor-train decomposition (TTD), the structured TTD, including nested Tucker train, as well as the associated optimisation strategies. More precisely, they gave synthetic descriptions of state-of-the-art estimators as the alternating least square (ALS) algorithm, the high-order singular value decomposition (HOSVD), and of more advanced algorithms as the rectified ALS, the TT-SVD/TT-HSVD and the Joint dImensionally Reduction and Factor retrieval Estimator scheme. They illustrated the efficiency of the introduced methodological and algorithmic concepts in the context of three important and timely signal processing-based applications: the direction-of-arrival estimation based on sensor arrays, multidimensional harmonic retrieval and multiple-input–multiple-output wireless communication systems.