Research and Simulation on Adaptive Noise Cancellation System Based on BP Neural Network

摘要：

　　Adaptive noise cancellation system can effectively eliminate interference,and has the strong nonlinear mapping capability and less calculation on the conditions of unknown outside initerference source characteristics.Firstly,we research adaptive noise cancellation system principle and structure,and construct an adaptive noise cancellation system based on BP neural network combining with characteristics of BP neural network.Then we dynamically simulate the system using Simulink.The simulation results show that the model can effectively offset the noise signal of noise added signal.

关键词： Adaptive noise cancellation system BP neural network Simulink

作者: Yanping He Haidong Zhang Keyan Deng

作者单位: School of Electrician Engineering, Northwest University for Nationalities, Lanzhou, Gansu, 730030, P School of Mathematics and Computer Science, Northwest University for Nationalities, Lanzhou, Gansu,

会议类型: 国际会议

会议名称: 2012 International Mechanical Properties and Structural Materials Conference(IMPSMC2012)(2012机械性能与结构材料国际会议)

会议地点: 太原

会议语种:英文

页码: 110-113

在线出版日期: 2012-08-17（万方平台首次上网日期，不代表论文的发表时间）