Neural Network Approach for Adaptive Noise Cancellation
نویسندگان
چکیده
Adaptive filters have been used in wide range of signal processing applications because of its simplicity in computation and implementation. Various adaptive algorithms available are associated with high computational complexity when implemented practically. This paper discusses the adaptive noise cancellation problem and how the neural network can be applied for weight convergence. Adaptive filtering provides a nice tradeoff between complexity and convergence speed. The simulation results show that output error decreases with increase in number of iterations if back propagation approach is considered.
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