Reconstruction of Time-Varying Graph Signals via Sobolev Smoothness

Author:

Giraldo Jhony H.1ORCID,Mahmood Arif2ORCID,Garcia-Garcia Belmar1,Thanou Dorina3ORCID,Bouwmans Thierry1ORCID

Affiliation:

1. Laboratoire Mathématiques, Image et Applications, La Rochelle Université, La Rochelle, France

2. Department of Computer Science, Information Technology University, Lahore, Pakistan

3. Center for Intelligent Systems, EPFL, Lausanne, Switzerland

Funder

CONACYT Mexico

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computer Networks and Communications,Information Systems,Signal Processing

Cited by 25 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Multiscale dynamic graph signal analysis;Signal Processing;2024-09

2. Gegenbauer Graph Neural Networks for Time-Varying Signal Reconstruction;IEEE Transactions on Neural Networks and Learning Systems;2024-09

3. Bayesian reconstruction of Cartesian product graph signals with general patterns of missing data;Journal of the Franklin Institute;2024-06

4. Graph signal reconstruction based on spatio-temporal features learning;Digital Signal Processing;2024-05

5. Robust estimation of smooth graph signals from randomized space–time samples;Information and Inference: A Journal of the IMA;2024-04-01

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