摘要
本文分析了自适应算法的原理,研究了最小均方(LMS)算法和归一化最小均方(NLMS)算法的区别,给出了有源噪声控制的仿真系统,并进行了仿真实验,在输入信号变化较大时,NLMS算法也能够维持稳定,并比LMS的收敛速度快。
The paper analyzes the principle of adaptive algorithm and studies the differences between Least Mean Square （LMS） and Normalized Least Mean Square（NLMS）. Active noise control system is simulated. Simulation experimental results show that NLMS algorithm can keep stable and has higher rate of convergence than LMS even inputing an signal with large fluctuations.
出处
《湖北第二师范学院学报》
2014年第2期25-27,共3页
Journal of Hubei University of Education
基金
湖北省教育厅科学技术研究项目(B2013012)
