Co-PARAFAC: A Novel Cost-Efficient Scalable Tensor Decomposition Algorithm

This paper proposes a novel tensor decomposition method, cooperative parallel factor (Co-PARAFAC), that is devised to achieve higher accuracy with lower computational complexity and memory requirements than the conventional PARAFAC. The rationale relies on dividing a given tensor, even with a large...

Täydet tiedot

Bibliografiset tiedot

Päätekijät:	Farshad Shams, Vincenzo Lottici, Zhi Tian
Aineistotyyppi:	Artigo
Kieli:	Inglês
Julkaistu:	IEEE 2024-01-01
Sarja:	IEEE Access
Aiheet:	Channel estimation PARAFAC RIS tensor decomposition wireless communications
Linkit:	https://ieeexplore.ieee.org/document/10630825/
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