摘要
基于一种全相位FIR自适应滤波器 ,将重叠滤波思想引入变换域LMS算法 ,提出了DFT、DCT和DST变换域的带窗重叠自适应滤波算法 (WO TLMS) .与传统的变换域LMS(TLMS)算法相比 ,WO TLMS算法提高了收敛速度同时具有较低的稳态均方误差 .理论分析了算法的收敛性 ,实验中通过和TLMS算法的比较验证了WO
Based on a novel all-phase FIR adaptive filter, combination of overlapping idea with LMS algorithm in transform domain is proposed. Overlapping windowed adaptive filtering algorithms (WO-TLMS) in DFT, DCT and DST transform domain are presented. Compared with the conventional LMS algorithm in transform domain, WO-TLMS algorithm owns lower mean square steady error and more rapid convergence speed. Convergence property of WO-TLMS is theoretically analyzed and the superiority to TLMS is verified experimentally.
出处
《电子学报》
EI
CAS
CSCD
北大核心
2004年第11期1859-1863,共5页
Acta Electronica Sinica
基金
天津大学"教育振兴计划"资助
关键词
全相位
自适应滤波
重叠滤波器
LMS算法
稳态失调
Adaptive filtering
Algorithms
Computer simulation
Convergence of numerical methods
Cosine transforms
Discrete Fourier transforms
Least squares approximations
Mathematical models
