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Neural network approximation of graph Fourier transform for..:
Pagani, Alessio
;
Wei, Zhuangkun
;
Silva, Ricardo
.
Pagnani A, Wei Z, Silva R, Guo W. (2021) Neural network approximation of graph Fourier transform for sparse sampling of networked dynamics. ACM Transactions on Internet Technology, Volume 22, Issue 1, 2021, Article number 21. , 2021
Link:
https://doi.org/10.1145/3461838
RT Journal T1 <Title>Neural network approximation of graph Fourier transform for sparse sampling of networked dynamics</Title> UL https://suche.suub.uni-bremen.de/peid=base-ftcranfield:oai:dspace.lib.cranfield.ac.uk:1826_17105&Exemplar=1&LAN=DE A1 Pagani, Alessio A1 Wei, Zhuangkun A1 Silva, Ricardo A1 Guo, Weisi PB Association for Computing Machinery (ACM) YR 2021 K1 neural networks K1 graph fourier transform K1 Sampling theory K1 Network dynamics K1 Networks Cyber-physical networks K1 Embedded and cyber-physical systems K1 Computer systems organization JF Pagnani A, Wei Z, Silva R, Guo W. (2021) Neural network approximation of graph Fourier transform for sparse sampling of networked dynamics. ACM Transactions on Internet Technology, Volume 22, Issue 1, 2021, Article number 21 LK http://dx.doi.org/https://doi.org/10.1145/3461838 DO https://doi.org/10.1145/3461838 SF ELIB - SuUB Bremen
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