Noise-Canceller based on Generalized Neural Network
Agya Mishra, Ram Narayan Yadav, D.K. Trivedi · International Conference on Advanced Communication Technology · 2007
The noise cancellation has become the essential requirement in the field of signal processing. This paper presents the noise-cancellation technique based on higher-order neural network (HONN). These networks consists of an aggregation function, generalized neural network (GNN) which is based on the generalized-mean of all the inputs applied to it. The results of GNN is also compared with the existing recursive least square algorithm (RLS) of adaptive filtering. The simulation results show these network can be suitably applied for the signal detection.