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自适应阈值多小波故障暂态信号去噪方法 被引量:15

Adaptive shrinkage value de-noising method of fault transient signals with multiwavelets
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摘要 在介绍多小波基本理论的基础上 ,探讨了基于多小波的信号去噪方法。针对目前多小波去噪方法的不足 ,提出一种基于自适应阈值的多小波去噪方法 ,应用于电力系统输电线故障暂态信号的去噪 ,并与基于传统阈值多小波和小波的去噪效果进行了比较。仿真结果表明 ,该方法可以根据实际信号自适应改变阈值大小 ,在去噪效果上优于传统多小波去噪方法。 Based on the basic theory of multiwavelet, the multiwavelet de-noising methods are discussed. After the analysis of traditional method, an adaptive shrinkage value de-noising method based on multiwavelet is proposed. This method is adopted in fault transient signal de-noising of power transmission lines, and its de-noising effect is compared with the traditional multiwavelet and wavelet methods. The simulation results indicate that the shrinkage value changeds adaptively with signals, and the de-noising effect is better than that of the traditional method.
出处 《系统工程与电子技术》 EI CSCD 北大核心 2004年第7期878-880,共3页 Systems Engineering and Electronics
基金 国家自然科学基金 ( 5 99770 19) 四川省应用基础研究项目基金 ( 0 2GY0 2 9-0 3 9)资助课题
关键词 信号去噪 多小波 自适应阚值 signal de-noising multiwavelet adaptive shrinkage value
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参考文献5

  • 1Daubechies. Ten Lectures on Wavelets[M]. USA, Philadelphia, SIAM, 1992.
  • 2Goodman T N T, Lee S L. Wavelets of Multiplicity r[J]. Trans. on Amer. Math. Soc., 1994, 342: 307-324.
  • 3Xia X G, Geronimo J S, Hardin Douglas P, et al. Design of Prefilters for Discrete Multiwavelet Transforms[J]. IEEE Trans. on Signal Processing, 1996, 44(1): 25-34.
  • 4Donoho D L, Johnstone I M. Ideal Spatial Adaptation Via Wavelet Shrinkage[J]. Biometrika, 1994, 81:425-455.
  • 5Strela V, Heller P N, Topiwala P, et al., The Application of Multiwavelet Filter Banks to Image Processing[J]. IEEE Trans. on Image Processing, 1999, 8 (4): 548-563.

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