Paper Title:
Wavelet-Based Neural Network Adaptive Filter for sEMG Denoising
  Abstract

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.

  Info
Periodical
Chapter
Chapter 7: Computer Application in Design and Manufacturing (2)
Edited by
Dongye Sun, Wen-Pei Sung and Ran Chen
Pages
4259-4264
DOI
10.4028/www.scientific.net/AMM.121-126.4259
Citation
J. H. Wang, N. Chen, Q. Xiao, J. Y. Xu, S. S. Gu, "Wavelet-Based Neural Network Adaptive Filter for sEMG Denoising", Applied Mechanics and Materials, Vols. 121-126, pp. 4259-4264, 2012
Online since
October 2011
Export
Price
$32.00
Share

In order to see related information, you need to Login.

In order to see related information, you need to Login.

Authors: Yan Ping He
Abstract:The adaptive noise cancellation system by LMS algorithm need not to know the prior knowledge of input speech signal and noise, and can carry...
453
Authors: Yan Ping He, Hai Dong Zhang
Chapter2: Material Science, Environment Science and Engineering
Abstract:The paper introduces the principle and structure of adaptive filter based on LMS algorithm, studies a design scheme of a single frequency...
299
Authors: Yong Jiang, Ya Ping Wang, Dong Mei Zhao
Chapter 2: Innovation Engineering Management
Abstract:The paper analyzes the difference between useful signal and noise signal in dissemination characteristic inside wavelet space in...
176
Authors: Lu Jun Cui, Hui Chao Shang, Gang Zhang, Yong Li, Ze Xiang Zhao
Chapter 3: Control and Automation Systems
Abstract:The present work investigated the adaptive noise control system based on neural network. The structure and the characteristics of ANC...
236
Authors: Qian Xiao
Chapter 10: Sound, Noise and Vibration Control
Abstract:Due to the fact that it is not easy to filter out the spectrum overlap noise between noisy signal and noise by using the traditional wavelet...
2521