dc.creator | Ribeiro, MV | |
dc.date | 2004 | |
dc.date | 42309 | |
dc.date | 2014-11-18T03:40:40Z | |
dc.date | 2015-11-26T16:50:29Z | |
dc.date | 2014-11-18T03:40:40Z | |
dc.date | 2015-11-26T16:50:29Z | |
dc.date.accessioned | 2018-03-28T23:37:14Z | |
dc.date.available | 2018-03-28T23:37:14Z | |
dc.identifier | Eurasip Journal On Applied Signal Processing. Hindawi Publishing Corporation, v. 2004, n. 16, n. 2592, n. 2599, 2004. | |
dc.identifier | 1110-8657 | |
dc.identifier | WOS:000227366300019 | |
dc.identifier | 10.1155/S1110865704407021 | |
dc.identifier | http://www.repositorio.unicamp.br/jspui/handle/REPOSIP/80823 | |
dc.identifier | http://www.repositorio.unicamp.br/handle/REPOSIP/80823 | |
dc.identifier | http://repositorio.unicamp.br/jspui/handle/REPOSIP/80823 | |
dc.identifier.uri | http://repositorioslatinoamericanos.uchile.cl/handle/2250/1275737 | |
dc.description | This paper introduces adaptive fuzzy equalizers with variable step size for broadband power line (PL) communications. Based on delta-bar-delta and local Lipschitz estimation updating rules, feedforward, and decision feedback approaches, we propose singleton and nonsingleton fuzzy equalizers with variable step size to cope with the intersymbol interference (ISI) effects of PL channels and the hardness of the impulse noises generated by appliances and nonlinear loads connected to low-voltage power grids. The computed results show that the convergence rates of the proposed equalizers are higher than the ones attained by the traditional adaptive fuzzy equalizers introduced by J. M. Mendel and his students. Additionally, some interesting BER curves reveal that the proposed techniques are efficient for mitigating the above-mentioned impairments. | |
dc.description | 2004 | |
dc.description | 16 | |
dc.description | 2592 | |
dc.description | 2599 | |
dc.language | en | |
dc.publisher | Hindawi Publishing Corporation | |
dc.publisher | Sylvania | |
dc.publisher | EUA | |
dc.relation | Eurasip Journal On Applied Signal Processing | |
dc.relation | EURASIP J Appl. Signal Process. | |
dc.rights | aberto | |
dc.source | Web of Science | |
dc.subject | power line communications | |
dc.subject | broadband applications | |
dc.subject | nonlinear equalization | |
dc.subject | fuzzy systems | |
dc.subject | learning rate updating | |
dc.subject | impulse noises | |
dc.subject | Bayesian Equalizer | |
dc.subject | Rate Adaptation | |
dc.subject | Channels | |
dc.subject | Convergence | |
dc.subject | Filters | |
dc.subject | Noise | |
dc.title | Learning rate updating methods applied to adaptive fuzzy equalizers for broadband power line communications | |
dc.type | Artículos de revistas | |