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Matrix and Tensor Decompositions in Signal Processing, Volume 2

Autor Gérard Favier
en Limba Engleză Hardback – 31 aug 2021
The second volume will deal with a presentation of the main matrix and tensor decompositions and their properties of uniqueness, as well as very useful tensor networks for the analysis of massive data. Parametric estimation algorithms will be presented for the identification of the main tensor decompositions. After a brief historical review of the compressed sampling methods, an overview of the main methods of retrieving matrices and tensors with missing data will be performed under the low rank hypothesis. Illustrative examples will be provided.
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Specificații

ISBN-13: 9781786301550
ISBN-10: 1786301555
Pagini: 384
Dimensiuni: 161 x 240 x 25 mm
Greutate: 0.72 kg
Ediția:Volume 2
Editura: Wiley
Locul publicării:Hoboken, United States

Notă biografică

FAVIER Gérard, Emeritus Research Director at CNRS.