Method of Noise Cancellation Based on Adaptive Fuzzy Neural Networks Algorithm for Multi-Sensory Signals

Adaptive fuzzy neural network systems (AFNNS) are employed for adaptive noise cancellation using multi-sensory signal recording of the same noise source. The method based on AFNNS not only achieves the optimal reconstruction but also possesses a desired robust against the effect of uncertainties and incomplete information in signal processing. Simulation result shows that the design method can not only obtain simplicity of implementation but also achieve better reconstruction performance than the method based on the averaging method