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Matrix and tensor decompositions in signal processing /

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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 decom...

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Bibliographic Details
Main Author: Favier, Gérard (Author)
Format: eBook
Language:English
Published: London : Hoboken, NJ : ISTE, Ltd. ; Wiley, 2021.
Subjects:
Signal processing > Digital techniques > Mathematics.
Computer algorithms.
Calculus of tensors.
Matrices.
Algorithms.
Electronic books.
Online Access:Connect to the full text of this electronic book
Description
Summary: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.
Physical Description:1 online resource (1 volume) : illustrations
Bibliography:Includes bibliographical references and index.
ISBN:9781119700999
111970099X