Noise - Canceller based on Generalized-Mean Neural Networks􀀁

Noise cancellation in the field of Adaptive filtering has become the essential requirement of the signal processing .The standardmultilayer perceptron (MLP) model of Neural Networks is now popular in Adaptive filtering This paper presents the noise-cancellationtechnique based on Generalized-mean neuron network (GMN). This network consists of an aggregation function, which is based on thegeneralized mean of all the inputs applied to it. Performance of this GMN network is also compared with traditional MLP networks. Thesimulation results show the GMN network can be suitably applied for the signal detection