2015 Annual IEEE India Conference (INDICON) 2015
DOI: 10.1109/indicon.2015.7443407
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ANFIS based equalizer for non-linear time varying channels

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Cited by 2 publications
(1 citation statement)
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“…Besides, the system time response drastically decreases, as the number of fuzzy rules increases. An effective technique for formulation of the FLE using neural network (NN) learning the input‐output pattern is neurofuzzy equaliser (NFE) [20, 21]. However, the computational complexity and the number of free parameters in an NFE increase as the number of fuzzy rules increases.…”
Section: Introductionmentioning
confidence: 99%
“…Besides, the system time response drastically decreases, as the number of fuzzy rules increases. An effective technique for formulation of the FLE using neural network (NN) learning the input‐output pattern is neurofuzzy equaliser (NFE) [20, 21]. However, the computational complexity and the number of free parameters in an NFE increase as the number of fuzzy rules increases.…”
Section: Introductionmentioning
confidence: 99%