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ORCIDDaniel G. Tiglea
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2020 – today
- 2024
[j5]Daniel G. Tiglea
, Renato Candido, Magno T. M. Silva:
Adaptive diffusion networks: An overview. Signal Process. 223: 109570 (2024)- [j4]Daniel G. Tiglea, Renato Candido, Magno T. M. Silva:
On the Impact of Random Node Sampling on Adaptive Diffusion Networks. IEEE Trans. Signal Process. 72: 3973-3989 (2024) - 2023
- [c4]Daniel G. Tiglea, Renato Candido, Luis Antonio Azpicueta-Ruiz, Magno T. M. Silva:
Reducing the Communication and Computational Cost of Random Fourier Features Kernel LMS in Diffusion Networks. ICASSP 2023: 1-5 - [c3]Daniel G. Tiglea, Renato Candido, Magno T. M. Silva:
Can Adaptive Diffusion Networks Do Better with Less Data? ISWCS 2023: 1-6 - 2022
- [j3]Daniel G. Tiglea, Renato Candido, Magno T. M. Silva:
An adaptive algorithm for sampling over diffusion networks with dynamic parameter tuning and change detection mechanisms. Digit. Signal Process. 127: 103587 (2022) - [j2]Daniel G. Tiglea, Renato Candido, Magno T. M. Silva:
A Variable Step Size Adaptive Algorithm With Simple Parameter Selection. IEEE Signal Process. Lett. 29: 1774-1778 (2022) - 2021
- [j1]Daniel G. Tiglea, Renato Candido, Magno T. M. Silva:
A Low-Cost Algorithm for Adaptive Sampling and Censoring in Diffusion Networks. IEEE Trans. Signal Process. 69: 58-72 (2021) - 2020
- [c2]Daniel G. Tiglea, Renato Candido, Magno T. M. Silva:
A Sampling Algorithm for Diffusion Networks. EUSIPCO 2020: 2175-2179
2010 – 2019
- 2019
- [c1]Daniel G. Tiglea, Renato Candido, Magno T. M. Silva:
An Adaptive Sampling Technique for Graph Diffusion LMS Algorithm. EUSIPCO 2019: 1-5
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