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| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Bhatia, Vimal | en_US |
| dc.date.accessioned | 2022-03-17T01:00:00Z | - |
| dc.date.accessioned | 2022-03-17T15:41:48Z | - |
| dc.date.available | 2022-03-17T01:00:00Z | - |
| dc.date.available | 2022-03-17T15:41:48Z | - |
| dc.date.issued | 2014 | - |
| dc.identifier.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 | en_US |
| dc.identifier.isbn | 9781479980840 | - |
| dc.identifier.other | EID(2-s2.0-84946687850) | - |
| dc.identifier.uri | https://doi.org/10.1109/ICIT.2014.33 | - |
| dc.identifier.uri | https://dspace.iiti.ac.in/handle/123456789/5392 | - |
| dc.description.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. | en_US |
| dc.language.iso | en | en_US |
| dc.publisher | Institute of Electrical and Electronics Engineers Inc. | en_US |
| dc.source | Proceedings - 2014 13th International Conference on Information Technology, ICIT 2014 | en_US |
| dc.subject | Algorithms | en_US |
| dc.subject | Diffusion LMS | en_US |
| dc.subject | Distributed networks | en_US |
| dc.subject | Faster convergence | en_US |
| dc.subject | Least mean square(LMS) | en_US |
| dc.subject | Linearly separable | en_US |
| dc.subject | LMS algorithms | en_US |
| dc.subject | Mercer Kernel | en_US |
| dc.subject | Non linear | en_US |
| dc.subject | Diffusion | en_US |
| dc.title | The diffusion-KLMS algorithm | en_US |
| dc.type | Conference Paper | en_US |
| Appears in Collections: | Department of Electrical Engineering | |
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