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小波变换域的局部自适应Wiener滤波器设计方法研究 被引量:1

The Design of Wavelet Transform Domain Locally Adaptive Wiener Filter
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摘要 小波阈值去噪方法被广泛地用在信号去噪中,这个方法在很多信号空间上是近似最优的。但在MSE意义上最优的信号估计是Wiener滤波器,鉴于传统小波变换域Wiener滤波器的缺点,本文设计了小波域局部自适应Wiener滤波器。实验仿真验证本方法具有较好的去噪效果。 Thresholding methods were widely used to signal denoising. This method is nearly optimal in many signal space. But the Wiener filter is optimal for any signal in the sense of MSE. In this paper, two kinds of locally adaptive Wiener filter in wavelet domain were provided. Typical signals were processed by locally adaptive Wiener filter and other denoising methods. Experiment results show that our methods have better performance.
出处 《信号处理》 CSCD 2003年第2期185-187,共3页 Journal of Signal Processing
基金 天津市自然科学基金资助(项目号:023601611)
关键词 信号估计 小波变换域 去噪方法 自适应Wiener滤波器 设计方法 threshold denoising wiener filter locally adaptive wiener filter
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  • 1[1]D.L.Donoho. De- Noising by Soft-Thresholding. [J].IEEE Trans on IT. 1995, (3):613-627
  • 2[2]S.Mallat. A Wavelet Tour of Signal Processing. [M].Academic Press, 1998.
  • 3[3]Matthew S. Crouse.etc. Wavelet-based statistical signal processing using hidden markov models. [J]. IEEE Trans on SP, 1999, 46(4):886-902.
  • 4[4]J.S. Lee, Digital image enhancement and noise fiitering by use local statistics.[J]. IEEE Trans on Pattern Anal.Machine Intell, 1980,(2): 165-168
  • 5[5]Marlo A.T. Figueiredo and Robert D.Nowak. Bayesian wavelet-based signal estimation using non-informative priors.[J].Thirty-Second Asilomar Conference on Signals,System and computer. 1998,(2): 1368-1373.
  • 6[6]S.P. Ghael, A.M.Sayeed,etc. Improved wavelet denoising via empirical Wiener filtering. [J]. Proceedings of SPIE,July 1997, vol.3169, pp.389-399.

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