黄素真,宋晓梅,任正伟.基于双树复小波变换信号去噪算法研究[J].国外电子测量技术,2017,36(10):19-22
基于双树复小波变换信号去噪算法研究
Signal denoising algorithm based on double tree complex wavelet transform
  
DOI:
中文关键词:  信号去噪  双树复小波变换  小波变换  信噪比  均方误差
英文关键词:signal denoising  double tree complex wavelet transform  wavelet transform  signal to noise ratio  mean square error
基金项目:
作者单位
黄素真 西安工程大学电子信息学院 西安 710048 
宋晓梅 西安工程大学电子信息学院 西安 710048 
任正伟 西安工程大学电子信息学院 西安 710048 
AuthorInstitution
Huang Suzhen School of Electronic Information, Xi’an Polytechnic University, Xi’an 710048, China 
Song Xiaomei School of Electronic Information, Xi’an Polytechnic University, Xi’an 710048, China 
Ren Zhengwei School of Electronic Information, Xi’an Polytechnic University, Xi’an 710048, China 
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中文摘要:
      离散小波变换被广泛应用于数字信号的去噪处理中,特别是非平稳信号、瞬时时变信号等的去噪,但是有平移敏感性的缺陷。为了克服这种缺陷,文中采用双树复小波变换进行信号去噪,并使用硬阈值、软阈值等准则进行滤波处理。最后采用SNR(信噪比)和MSE(均方误差)来评估两者信号去噪效果。结果表明,双树复小波变换能够较好的保存信号的细节信息,其去噪效果优于离散小波变换。
英文摘要:
      Discrete wavelet transform is widely used in denoising of digital signals, especially nonstationary signals, instantaneous time varying signals, but it has the drawbacks of translational sensitivity. In order to overcome the shortcomings of discrete wavelet transform, the paper used the double tree complex wavelet transform to denoise the signal, and used the hard threshold, soft threshold and other criteria to filter the signal. Finally, SNR (signal to noise ratio) and MSE(mean square error) were used to evaluate the effects of signal denoising. The results show that the double wavelet complex wavelet transform which saves the details of the information of the signal is better than discrete wavelet transform in denosing the signal.
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