摘要
语音信号是非平稳信号,利用小波的时频域局部化特性,通过小波变换对语音信号进行去噪处理,在经典的硬、软域值去噪方法的基础上,提出一种新的算法,并比较这3种算法的优劣。最后进行仿真实验,用MATLAB软件提取一段纯净的语音信号,并叠加高斯白噪声,对带噪信号分别用以上3种算法进行去噪处理,实验证实了该算法较其他算法更加有效。
Because the speech signal is not steady, this paper introduces the de-noising of the speech signal by the wavelet transform with local well in the time and frequency domains and shows an improved algorithm based on the hard and soft threshold, and compares it with the others. Simulation experiment was made, which gets a speech signal with Gauss white noise by the MATLAB software, then processes the signal with the three methods separately. Experimental result shows that the algorithm gets a better performance in speech signal de-noising than other algorithms.
出处
《电子测量技术》
2006年第6期46-47,53,共3页
Electronic Measurement Technology
关键词
小波变换
语音信号
阈值
去噪
wavelet transform
speech signal
threshold
de-noising
