带有噪声相关性的自适应噪声抵消系统仿真研究

本文为了在语音信号处理中能消除含噪语音信号中的背景噪音,采用自适应信号处理的理论和技术来达到提高语音信号质量的目的。通过介绍自适应滤波器原理,在对自适应滤波器相关理论研究的基础上,研究了LMS自适应滤波算法,并对LMS自适应算法进行了分析。同时为了使输入的参考信号与噪声相关,加入分离周期信号与带有窄带干扰抑制的宽带信号。通过分析仿真结果表明基于LMS算法的自适应噪声抵消技术可以有效地抵消正弦干扰信号,同时加入宽带信号中的周期性噪声,在没有另外的与噪声相关的参考信号的情况下,可以使用自适应噪声抵消系统来消除这种同期性干扰噪声。

Emulational research of adaptive noise canceller analysiswith noise correlation

Speech signal processing in order to be able to eliminate the noisy speech signal in background noise, adaptive signal processing theory and techniques to achieve the purpose of improving the quality of voice signal. By introducing the principle of adaptive filter, adaptive filter on the basis of relevant theory, research the LMS adaptive filter algorithm, and the LMS adaptive algorithm is analyzed.Meanwhile, in order to make the input reference signal and noise correlation, adding periodic signal separation and broadband signals, the broadband signal in narrowband interference suppression.By analyzing the simulation results show that the LMS algorithm based on adaptive noise cancellation technology can effectively offset the sinusoidal interference signal, while adding broadband signals in the periodic noise, in the absence of other noise associated with the case of the reference signal, you can use the adaptivenoise canceling system to eliminate interference noise of this year.