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.
1140169546
Matrix and Tensor Decompositions in Signal Processing, Volume 2
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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Matrix and Tensor Decompositions in Signal Processing, Volume 2
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Matrix and Tensor Decompositions in Signal Processing, Volume 2
384eBook (Volume 2)
$108.00
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Product Details
| ISBN-13: | 9781119700968 |
|---|---|
| Publisher: | Wiley |
| Publication date: | 08/17/2021 |
| Sold by: | JOHN WILEY & SONS |
| Format: | eBook |
| Pages: | 384 |
| File size: | 27 MB |
| Note: | This product may take a few minutes to download. |
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