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| Title: | The diffusion-KLMS algorithm |
| Authors: | Bhatia, Vimal |
| Keywords: | Algorithms;Diffusion LMS;Distributed networks;Faster convergence;Least mean square(LMS);Linearly separable;LMS algorithms;Mercer Kernel;Non linear;Diffusion |
| Issue Date: | 2014 |
| Publisher: | Institute of Electrical and Electronics Engineers Inc. |
| Citation: | Mitra, R., & Bhatia, V. (2014). The diffusion-KLMS algorithm. Paper presented at the Proceedings - 2014 13th International Conference on Information Technology, ICIT 2014, 256-259. doi:10.1109/ICIT.2014.33 |
| Abstract: | The diffusion least mean squares (LMS) [1] algorithm gives faster convergence than the original LMS in a distributed network. Also, it outperforms other distributed LMS algorithms like spatial LMS and incremental LMS [2]. However, both LMS and diffusion-LMS are not applicable in non-linear environments where data may not be linearly separable [3]. A variant of LMS called kernel-LMS (KLMS) has been proposed in [3] for such non-linearities. We intend to propose the kernelised version of diffusion-LMS in this paper. © 2014 IEEE. |
| URI: | https://doi.org/10.1109/ICIT.2014.33 https://dspace.iiti.ac.in/handle/123456789/5392 |
| ISBN: | 9781479980840 |
| Type of Material: | Conference Paper |
| Appears in Collections: | Department of Electrical Engineering |
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