Deep fully-connected tensor network decomposition for multi-dimensional signal recovery

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Ruoyang Su, Xi-Le Zhao, Wei-Hao Wu, Sheng Liu, Junhua He

Published: 01 Jan 2025, Last Modified: 31 Jul 2025Signal Process. 2025EveryoneRevisionsBibTeXCC BY-SA 4.0
Abstract: Highlights•We propose D-FCTN decomposition to boost the representation ability of FCTN.•We build a D-FCTN decomposition-based multi-dimensional signal recovery model.•Experiments demonstrate the powerful representation ability of D-FCTN decomposition.