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In this code, we will identify a nonlinear system using the most recent normalized adaptive exponential functional link network (AEFLN)-based adaptive filter.
The nonlinearity is defined in Case-II of our paper, which is mostly used in the existing non-linear ANC papers.
V. Patel, V. Gandhi, S. Heda, and N. V. George, “Design of Adaptive Exponential Functional Link Network-Based Nonlinear Filters,” IEEE Transactions on Circuits and Systems I: Regular Papers, vol. 63, no. 9, pp. 1434–1442, 2016.
All the parameters used in this code are in coordinance with the parameters used in Case-II of the above paper.
The code is nicely scripted. Hope this helps!!!!!
Cita come
Dwaipayan Ray (2026). Normalized Adaptive Exponential Functional Link Network (https://it.mathworks.com/matlabcentral/fileexchange/69849-normalized-adaptive-exponential-functional-link-network), MATLAB Central File Exchange. Recuperato .
Informazioni generali
- Versione 1.0.0 (16,3 KB)
Compatibilità della release di MATLAB
- Compatibile con qualsiasi release
Compatibilità della piattaforma
- Windows
- macOS
- Linux
| Versione | Pubblicato | Note della release | Action |
|---|---|---|---|
| 1.0.0 |
