论文标题
自适应噪声消除语音信号的性能分析
Performance Analysis of Adaptive Noise Cancellation for Speech Signal
论文作者
论文摘要
本文在信号传输的各种过程中，对自适应过滤器在噪声取消中的应用中的应用提供了更广泛的见解。自适应过滤技术（例如RLS，LMS和归一化LMS）使用负反馈的概念来过滤输入信号，以预测其性质并有效地从输入中删除它。在本文中，基于SNR（信号与噪声比），MSE（平均平方误差）和互相关的参数，进行了RLS，LMS和归一化LMS的有效性之间的比较研究。过滤器的实现和分析是通过在过滤器的不同订单上绘制不同步骤来完成的。
This paper gives a broader insight on the application of adaptive filter in noise cancellation during various processes where signal is transmitted. Adaptive filtering techniques like RLS, LMS and normalized LMS are used to filter the input signal using the concept of negative feedback to predict its nature and remove it effectively from the input. In this paper a comparative study between the effectiveness of RLS, LMS and normalized LMS is done based on parameters like SNR (Signal to Noise ratio), MSE (Mean squared error) and cross correlation. Implementation and analysis of the filters are done by taking different step sizes on different orders of the filters.
