Wavelet-Based Neural Network Adaptive Filter for sEMG Denoising
Jian Hui Wang, Na Chen, Qian Xiao, Jian Xu, Shu Sheng Gu · Applied Mechanics and Materials · 2011
For the large computation workload of the adaptive filter algorithm and the low filtering speed of the adaptive filter model based on wavelet transform, a wavelet-based neural network adaptive filter model is constructed in this paper. As the neural network has the capacity of distributed storage and fast self-evolution, Hopfield neural network is used to implement adaptive filtering algorithm LMS, so as to increase the computing speed. The model applied to sEMG signal denoising can achieve a better filtering effect.