摘要
对基于累积误差准则和基于共轭梯度的自适应算法进行了讨论和比较,分析了各自的特点,在此基础上提出了一种改进的自适应算法。改进算法可以在保证算法稳定的前提下提高算法的收敛性能。将改进算法应用于基于自适应干扰对消的语音增强实验,结果表明,与原有算法相比,改进算法能够使含噪语音的信噪比有较大改善。
In this paper the relationships between conjugate gradient adaptive algorithm and the adaptive algorithm with cumulative error criterion are studied. Based upon the analysis, we propose a modified adaptive algorithm. The modified algorithm has better convergence properties and is numerically stable. Experiments showed that the modified algorithm can give better SNR improvement when used in speech enhancement based on adaptive interference cancellation.
出处
《南京邮电学院学报（自然科学版）》
2005年第2期44-47,共4页
Journal of Nanjing University of Posts and Telecommunications
基金
江苏省普通高校自然科学研究计划(00KJB510003)资助项目
关键词
自适应算法
累积误差准则
共轭梯度法
语音增强
干扰对消
Adaptive algorithm
Cumulative error criterion
Conjugate gradient
Speech enhancement
Interference cancellation
