摘要
传统的LMS算法的精度不高,收敛速度慢,并且跟踪性能不好.本论文主要研究了一种改进型的变步长的LMS自适应算法NLMS,并基于MATLAB仿真软件设计完成了一种改进型的NLMS自适应滤波器,对该算法进行仿真验证.结果表明:该改进型的自适应算法NLMS平均误差更小,精度更高.
The traditional LMS algorithm accuracy is low, convergence is slow and tracking performance is poor. This paper presents a study of a modified adaptive algorithm named NLMS, and the design of improved LMS adaptive filter is completed based on MATLAB. The results show that: the improved NLMS adaptive algorithm average error is smaller, and the accuracy is improved.
出处
《洛阳师范学院学报》
2011年第2期30-32,共3页
Journal of Luoyang Normal University
基金
洛阳师范学院青年科研基金项目(10000872)