Code simulating Adaptation and Learning in Diffusion Networks
At this moment there are four implemented algorithms :
- ATC but with no cooperation
- ATC with Metropolis combination weights [1]
- ATC with Adaptive Combination Weights [2]
- Decoupled ATC for Estimation with LS adaptive Combiners [3]
See example1.m for an example of use
[1] Cattivelli, F. S., & Sayed, A. H. (2010). Diffusion LMS strategies for distributed estimation. IEEE Transactions on Signal Processing, 58(3), 1035-1048.
[2] S-Y. Tu and A. H. Sayed, Optimal combination rules for adaptation and learning over networks, Proc. IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP), San Juan, Puerto Rico, pp. 317-320, December 2011.
[3 Fernandez-Bes, J., Arenas-García, J., Silva, M. T., & Azpicueta-Ruiz, L. A. (2017). Adaptive Diffusion Schemes for Heterogeneous Networks. IEEE Transactions on Signal Processing, 65(21), 5661-5674.