Description

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.

Matrix and Tensor Decompositions in Signal Processing, Volume 2

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£112.95

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Hardback by Gérard Favier

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The second volume will deal with a presentation of the main matrix and tensor decompositions and their properties of uniqueness,... Read more

    Publisher: ISTE Ltd and John Wiley & Sons Inc
    Publication Date: 19/11/2021
    ISBN13: 9781786301550, 978-1786301550
    ISBN10: 1786301555

    Number of Pages: 384

    Non Fiction , Technology, Engineering & Agriculture , Education

    Description

    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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