Hierarchical Cubical Tensor Decomposition through Low Complexity Orthogonal Transforms
In this work, new approaches are proposed for the 3D decomposition of a cubical tensor of size N × N × N for N = 2<sup>n</sup> through hierarchical deterministic orthogonal transforms with low computational complexity, whose kernels are based on the Walsh-Hadamard Transform (WHT) and the...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2020-05-01
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| Series: | Symmetry |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2073-8994/12/5/864 |