Efficient Adaptive Noise Cancellation Using Genetic Optimization

摘要：

In this paper, the use of the genetic algorithm in optimization of a nonlinear filter in adaptive noise cancellation (ANC) system is proposed. While the standard adaptive algorithms in nonlinear systems may converge to a local minimum, genetic algorithms (GAs) handle this problem efficiently. Computer simulations show that a superior performance is achieved using the proposed system with a not complex GA. A comparison of the proposed system with a popular ANC system also shows a high reduction of estimation errors power.

关键词： adaptive noise cancellation nonlinear filter genetic optimization

作者: Shiva Gholami-Boroujeny Mohammad Eshghi

作者单位: Electrical and Computer Engineering faculty, Shahid Beheshti University Tehran, Iran

会议类型: 国际会议

会议名称: 2010 IEEE 10th International Conference on Signal Processing(第十届信号处理国际会议 ICSP 2010)

会议地点: 北京

会议语种:英文

页码: 2596-2599

在线出版日期: 2010-08-24（万方平台首次上网日期，不代表论文的发表时间）