首页 | 本学科首页   官方微博 | 高级检索  
     

基于平移不变小波的语音信号去噪研究
引用本文:袁飞.基于平移不变小波的语音信号去噪研究[J].自动化技术与应用,2011,30(8):40-42.
作者姓名:袁飞
作者单位:南京理工大学泰州科技学院电子电气工程学院,江苏泰州,225300
摘    要:通过小波阈值方法可以去除语音中的噪声,但它的结果中会出现诸如Pesudo-Gibbs现象之类的情况.为消除此类情况,将平移不变量小波变换引入到语音信号去噪中,并结合阈值方法进行去噪处理.经过仿真实验,证明这种方一法比一般的阈值方法有很大改进,提高了信噪比.

关 键 词:语音信号  小波变换  阈值去噪  平移不变

The Study of Acoustic Signal Denising Based on Translation Invariant Wavelet
YUAN Fei.The Study of Acoustic Signal Denising Based on Translation Invariant Wavelet[J].Techniques of Automation and Applications,2011,30(8):40-42.
Authors:YUAN Fei
Affiliation:YUAN Fei(College of Electronic & Electrical Engineering,Taizhou Institute of SCI&TECH.,NJUST,Taizhou 225300,China)
Abstract:Through wavelet threshold method can effectively eliminate the noise of acoustic signal.However,some cases such as Pesudo-Gibbs phenomena would appear in its result.In order to eliminate this phenomena,translation invariant is presented in the acoustic signal denoise.Moreover,the threshold method is combined to eliminate the acoustic signal denoise.Results of experiment show that the given algorithm is much better than the common deniosing methods and the SNR has been increased.
Keywords:acoustic signal  wavelet transform  thresholding de-noising  translation invariant  
本文献已被 CNKI 维普 万方数据 等数据库收录!
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号