RT Conference Proceedings
T1 Señales DCO-OFDM eficientes para VLC utilizando Redes Neuronales adaptativas Difusas (ANFIS)
A1 Genovés Guzmán, Borja
A1 Gil-Jiménez, Víctor P.
AB In this paper, Adaptive Neural Fuzzy Inference Systems (ANFIS) are used for obtaining Direct Current biased Optical Orthogonal Frequency Division Multiplexing (DCOOFDM) signals with low power envelope. Signals with very low crest factor obtained from Active Constellation Expansion (ACE) method are used for training our fuzzy systems. After the off-line training, the ANFIS are able to generate from the original realvalued signal another real-valued one with more than 2 dB of power envelope reduction which impacts in the final performance after going through the LED.
PB Universidad Politecnica de Valencia
SN 978-84-9048-264-3
YR 2014
FD 2014-09
LK https://hdl.handle.net/10016/21526
UL https://hdl.handle.net/10016/21526
LA spa
NO The proceeding at: XXIX Simposium Nacional de la Unión Científica Internacional de Radio, took at 2014, September 3-5, in Valencia (Spain).
NO Este trabajo ha sido financiado parcialmente por los proyectosGRE3NSYST (TEC2011-29006-C03-03) y COMONSENS(CSD2008-00010).
DS e-Archivo
RD 1 sept. 2024