Recovering low‐rank tensor from limited coefficients in any ortho‐normal basis using tensor‐singular value decomposition
Abstract Tensor singular value decomposition (t‐SVD) provides a novel way to decompose a tensor. It has been employed mostly in recovering missing tensor entries from the observed tensor entries. The problem of applying t‐SVD to recover tensors from limited coefficients in any given ortho‐normal bas...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2021-05-01
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| Series: | IET Signal Processing |
| Online Access: | https://doi.org/10.1049/sil2.12017 |