摘要
提出一种改进的自适应滤波算法,它通过选择自适应滤波器的系数更新时间间隔,在系统的收敛速度与计算量之间取得折衷;算法在每次系数更新时,利用了系统过去时刻数据并将频域批处理技术运用到算法计算中,大大加快了算法的收敛速度并且降低了计算复杂度,从而克服了LMS算法收敛速度慢以及仿射投影算法(APA)、递归最小二乘算法(RLS)计算量大的缺点.将所提算法应用于声回波对消中,仿真实验结果证实了其优点.
An improved adaptive filering algorithm is proposed in this paper. This proposed algorithm acquires balance of the convergence rate and computational cost of adaptive system by choosing the update interval of filter coefficients. As the previous data of adaptive system and block processing technology in frequency domain are applied to this algorithm, it obtain a faster convergence rate than the LMS algorithm and lower computational complexity than the APA and RLS algorithm. Simulation results confirms its effectiveness in adap- tive acoustic echo cancellation.
出处
《四川大学学报(自然科学版)》
CAS
CSCD
北大核心
2007年第4期821-824,共4页
Journal of Sichuan University(Natural Science Edition)
基金
国家自然科学基金(60472096)
关键词
自适应声回波对消
系数更新时间间隔
过去时刻数据
频域批处理
adaptive acoustic echo cancellation, coefficients update interval, previous data, block processing in frequency domain