Distributed Conjugate Gradient Algorithm for Signal Reconstruction of MOSGFBs-Reference-Cited by-同舟云学术

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Distributed Conjugate Gradient Algorithm for Signal Reconstruction of MOSGFBs

Published:2023-11-22 Issue: Volume: Page:
ISSN:0278-081X
Container-title:Circuits, Systems, and Signal Processing
language:en
Short-container-title:Circuits Syst Signal Process

Author:

Liu Xinyi,Ma Mou^ORCID,Jiang Junzheng

Funder

National Natural Science Foundation of China

Guangxi Natural Science Foundation for Distinguished Young Scholar

Guangxi special fund project for innovationdriven development

Innovation Project of GUET Graduate Education

Publisher

Springer Science and Business Media LLC

Subject

Applied Mathematics,Signal Processing

Link

https://link.springer.com/content/pdf/10.1007/s00034-023-02541-w.pdf

Reference26 articles.

1. M. Crovella, E. Kolaczyk, Graph wavelets for spatial traffic analysis, in IEEE INFOCOM 2003. 22nd Annual Joint Conference of the IEEE Computer and Communications Societies (IEEE Cat. No.03CH37428) (2003), pp. 1848–1857. https://doi.org/10.1109/INFCOM.2003.1209207

2. H. Feng, J. Jiang, H. Wang, F. Zhou, Design of time-vertex node-variant graph filters. Circuits Syst. Signal Process. 40(4), 2036–2049 (2021). https://doi.org/10.1007/S00034-020-01548-X

3. K. Guo, Y. Hu, Z. Qian, H. Liu, K. Zhang, Y. Sun, J. Gao, B. Yin, Optimized graph convolution recurrent neural network for traffic prediction. IEEE Trans. Intell. Transp. Syst. 22(2), 1138–1149 (2021). https://doi.org/10.1109/TITS.2019.2963722

4. D.K. Hammond, P. Vandergheynst, R. Gribonval, Wavelets on graphs via spectral graph theory. Appl. Comput. Harmon. Anal. 30(2), 129–150 (2011). https://doi.org/10.1016/j.acha.2010.04.005

5. I. Jabłoński, Graph signal processing in applications to sensor networks, smart grids, and smart cities. IEEE Sens. J. 17(23), 7659–7666 (2017). https://doi.org/10.1109/JSEN.2017.2733767

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