Improved performance in distributed estimation by convex combination of DNSAF and DNLMS algorithms
In diffusion estimation of distributed networks two characteristic parameters are crucial, the speed of convergence and steady-state error. Diffusion normalized least mean square (DNLMS) algorithm has low misadjustment error, but it is slow in convergence. On the contrary, the diffusion normalized s...
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| Main Authors: | , , , |
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| Format: | Proceedings |
| Language: | en en |
| Published: |
IEEE Xplore
2022
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| Subjects: | |
| Online Access: | https://eprints.ums.edu.my/id/eprint/41739/3/ABSTRACT%20%286%29.pdf https://eprints.ums.edu.my/id/eprint/41739/2/FULL%20TEXT.pdf https://eprints.ums.edu.my/id/eprint/41739/ https://ieeexplore.ieee.org/document/9936845 |
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