Adaptive noise cancellation for system with multi channel modulation using BPNN

Abstract

Signals acquired through any modern sensors suffer from variety of noises resulting from stochastic variations and deterministic distortions or shading. Hence it is desired to smooth the noisy signal to obtain a signal with higher quality. The paper proposed a neural network based adaptive noise cancellation technique for a system with multichannel modulation. Noise cancellation is then performed on the noisy signals by using the BACK PROPAGATION neutral network & performance is compared with the ADALINE method, the performance, evaluation of the results are based on estimated error.The performance of the system is also checked by varying the learning rate and momentum and order of the filtering. The proposed method is tested on large variety of multichannel signals. It is found that the performance of the Back-propagation is better than ADALINE in term of mean Square error.