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Noise cancellation technology is one of the major problems of signal processing. Adaptive noise cancellation technology, based on neural network, is a good kind of signal processing technology, which can eliminate noise from unknown noise resources. The technology shortage of the traditional adaptive noise cancellation is overcome. Noise cancellation technology becomes one of hot research topic in the field of the current signal processing technology. By studying multilayer feed-forward artificial neural network of the back-propagation learning algorithm, an adaptive noise cancellation based on artificial neural network is established, combining traditional adaptive noise cancellation system of basic principle. Experiments based on the Matlab Simulink prove it has strong noise filtering ability. Finally, this paper puts forward the method and algorithm of further improvement.
Date of Conference: 7-9 July 2012