摘要
声学回声是降低语音通话质量的重要因素之一。如何对回声路径中的非线性特性建模,提出有效的非线性回声对消方法具有重要意义。在自适应函数连接型滤波器FLAF的基础之上,引入RLS-sigmoid算法。对回声路径中的非线性畸变利用sigmoid函数建模,并对其参数进行估计。通过实验表明,新的SFLRLS-sigmoid方法比现有的两种方法各自单独作用效果都好,收敛速度快,稳态误差低,有更好地对回声路径的非线性特性的建模能力。
Acoustic echo is one of the important factors that reduce the quality of voice calls. To model the nonlinear characteristics in the echo path,an effective nonlinear echo cancellation method is proposed. This paper introduces the RLS-sigmoid algorithm based on the Functional Link Filter( FLAF). The nonlinear distortion of echo path is modeled by the sigmoid function,and its corresponding parameters are estimated. Simulations show that the new method has improved performance than existing two methods in terms of faster convergence speed,lower steady-state error,and better modeling capabilities for the nonlinear characteristics of the echo path.
作者
王仁杰
杨晓敏
芦璐
WANG Renjie;YANG Xiaomin;LU Lu(College of Electronics and Information Engineering,Sichuan University,Chengdu 610065)
出处
《现代计算机》
2021年第17期42-47,共6页
Modern Computer
基金
国家自然科学基金(No.61901285)
四川省科技厅项目(No.20YYJC3709)。
关键词
声学回声对消
自适应滤波
函数连接滤波器
Acoustic Echo Cancellation
Adaptive Filter
Functional Link Filter
