摘要
在分析传统LMS算法及其改进算法的基础上,提出了一种改进的变步长LMS算法,用误差信号的自相关及均方误差来调节自适应滤波算法的步长.仿真结果表明改进算法的收敛性能良好,优于传统LMS和MVSSLMS算法。
Following a brief discussion on traditional LMS and its improved algorithm, this paper presents a improved variable step size algorithm, which uses the estimation of the autocorrelation and means square error to adjust the step of adaptive algorithm. Computer simulation result verifies the improved algorithm has faster convergence rate than traditional LMS and MVSSLMS.
出处
《微计算机应用》
2009年第8期62-64,共3页
Microcomputer Applications
基金
黑龙江省教育厅科技基金资助项目(10541015)
