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基于小波变换的模极大值降噪法的实现及改进 被引量:10

Realization and Improvement of the Modulus Maximum De-noising Method Based on Wavelet Transformation
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摘要 传统的模极大值序列处理方法虽然可以保留信号特征,但降噪后的信号在奇异点有毛刺和轻微的振荡。模极大值序列的改进方法是对模极大值序列进行软阈值处理,由于软阈值函数是连续的,所以降噪信号会更加光滑。通过MATLAB仿真实验说明,改进方法能有效地改善毛刺和振荡现象。 Although traditional processing method of modulus maximum array can retain characteristics of signal, the signal after de-noising exists thorns and slight oscillation at singularity point. The improved method is that soft threshold is used to process modulus maximum array. Because the soft threshold func- tion is continuous, the signal after de-noising becomes more smooth. The MATLAB simulation results confirm that the improved method can improve the phenomenon of thorn and oscillation effectively.
作者 张翠芳
出处 《南京邮电大学学报(自然科学版)》 2009年第1期74-77,共4页 Journal of Nanjing University of Posts and Telecommunications:Natural Science Edition
基金 南京邮电大学青蓝计划(NY206037)资助项目
关键词 模极大值 奇异点 软阈值函数 MATLAB仿真 modulus maximum singularity point soft threshold function MATLAB simulation
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参考文献11

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