METHOD OF NOISE CANCELLATION BASED ON ADAPTIVE FUZZY NEURAL NETWORKS ALGORITHM FOR MULTI-SENSORY SIGNALS

摘要：

Adaptive fuzzy neural network systems (AFNNS) are employed for adaptive noise cancellation using multi-sensory signal recording of the same noise source. The method based on AFNNS not only achieves the optimal reconstruction but also possesses a desired robust against the effect of uncertainties and incomplete information in signal processing.Simulation result shows that the design method can not only obtain simplicity of implementation but also achieve better reconstruction performance than the method based on the averaging method.

关键词： Fuzzy neural network information fusion noise cancellation adaptive filter

作者: JIANG YU GUANG-HUI DONG CAO JUN

作者单位: Information and Communication Engineering College, Harbin Engineering University, Harbin 150001, Chi Communication Engineering Department, Northeast Forestry University, Harbin 150040, China

会议类型: 国际会议

会议名称: 2006 International Conference on Machine Learning and Cybernetics(IEEE第五届机器学习与控制论坛)

会议地点: 大连

会议语种:英文

页码: 2969-2972

在线出版日期: 2006-08-13（万方平台首次上网日期，不代表论文的发表时间）