摘要
对自适应网络模糊推理系统(ANFIS)在噪声抵消中的应用进行了研究.说明了ANFIS的结构和使用ANFIS进行噪声抵消的原理,对窄带干扰的滤除和噪声中的信号提取两种情况进行了仿真,并对ANFIS和LMS(最小均方误差准则)两种算法进行了对比研究,结果表明,利用ANFIS进行噪声抵消要优于LMS.
Adaptive noise canceling by using adaptive network based fuzzy inference system is studied.The structure of ANFIS and the theory of noise canceling are described.Filtering out narrow band noise and extracting signal from noise are simulated,and the ANFIS and LMS algorithms are studied by comparison.The simulation results show that the noise canceling by using ANFIS is much better than by using LMS.
出处
《上海理工大学学报》
CAS
北大核心
2004年第3期229-233,共5页
Journal of University of Shanghai For Science and Technology
