期刊文献+

基于小波变换模极大值的脉冲噪声去除方法 被引量:5

Impulse noise de-noising based on wavelet transform modulus maximum
在线阅读 下载PDF
导出
摘要 根据小波系数模极大值的特性,提出了去除脉冲噪声的一种新方法.由于脉冲噪声往往造成信号的突变,所以经小波变换后其小波系数易成为模局部极大值.由突变点的模极大值随着小波分解尺度的增大而减小的性质,可采取去除具有此种性质的模极大值的方法去除脉冲噪声.此方法也能很好的去除白噪声,因为白噪声与脉冲噪声的模极大值具有相同的特点. A new method of impulse de-noising is proposed based on wavelet modulus maxi taurus. Because of its large value the wavelet coefficients of impulse noise are modulus maxi mums which would decrease while wavelet decomposing scale increasing, so we can reduce these modulus maximums to remove impulse noise. This method is also effective for white noise because its modulus maximum has the same character with impulse noise's.
作者 潘金凤
出处 《山东理工大学学报(自然科学版)》 CAS 2007年第5期69-72,共4页 Journal of Shandong University of Technology:Natural Science Edition
关键词 脉冲噪声 小波变换 模极大值 去噪 impulse noise wavelet transform modulus maximum denoising
  • 相关文献

参考文献7

二级参考文献41

  • 1宋焕生,梁德群,刘春阳.一种新的自适应多级中值滤波器[J].信号处理,1996,12(4):297-305. 被引量:13
  • 2彭玉华.小波分析与工程应用[M].北京:科学出版社,1999..
  • 3DONOHO D, JOHNSTONEI.Ideal spatial adaptation via wavelet shrinkage[J].Biometrika, 1994, 81 (2): 425-445.
  • 4DONOHO D. De-noising by soft-thresholding[J]. IEEE Trans on Information Theory, 1995, 41(3):613-626.
  • 5BURRUS C, et al. Introduction To Wavelets And Wavelet Transforms[M]. Prentice Hall, 1998. 205-212.
  • 6MALLAT S. A theory for multi-resolution signal decomposition: The wavelet representation[J].IEEE Trans on PAMI, 1989, 11(7):674-693.
  • 7GOPINATH A, BURRUS C. Wavelet Transforms and Filter Banks, In Wavelets: A Tutorial in Theory and Applications[M]. San Diego, CA:Academic Press, 1992.603-655.
  • 8PENG Y H. Wavelet transform based filter for smoothing of signals[A] .International Conference on Computational Electro-Magnetic and Its Applications[C]. 1999. 140-144.
  • 9PENG Y H. De-noising by modefied soft thresholding[A].JEEE APCCAS[C],2000.760-763.
  • 10Maragos P,Schafer R W.Morphological filters-Part Ⅰ:Their set theoretic analysis and relation to linear shift invariant filters[J].IEEE Trans on ASSP.1987,35(8):1153-1169.

共引文献101

同被引文献47

引证文献5

二级引证文献28

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部