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一种实时小波降噪算法 被引量:33

A Real-time Wavelet De-noising Algorithm
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摘要 通过施加滑动数据窗的方式 ,总剪取实时数据的最新一段 ,再利用区间小波降噪算法 ,构造出实时小波降噪算法。实时降噪计算量通过选用正交紧支撑小波和限制小波分解深度降低。区间小波变换的边界干扰通过数据输出的时间延迟避免。引入冗余采样数据消除数据更新的时间滞后。用仿真实验验证了算法的降噪能力。 A moving window is adopted to extract the last segments of real-time updating data, the extracted data segment is decomposed through wavelet de-noising algorithm in interval to form the real-time de-noising algorithm. Calculation complexity is reduced by using orthogonal wavelet with compact support and limiting wavelet decomposition depth. Edge interference is turn away by time-delayed data output. Redundant data sampling is imported to avoid the time-delay in real-time data updating. The algorithm is verified with simulated test.
作者 蒋东方 陈明
出处 《仪器仪表学报》 EI CAS CSCD 北大核心 2004年第6期781-783,795,共4页 Chinese Journal of Scientific Instrument
关键词 实时数据 算法 冗余 数据更新 采样数据 仿真实验 数据输出 小波降噪 时间滞后 构造 Wavelet transform De-noising Filtering Wavelet thresholding Real-time system
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参考文献4

  • 1Donoho D. L., I.M. Johnstone. Ideal spatial adaptation by wavelet shrinkage. Biometrika, 1994,81(9):425~455.
  • 2Kautsky J., R. Turcajova. A matrix approach to discrete wavelets. In:Charles K. Chui, L. Montefusco, L. Puccio,Eds., Wavelets:theory, algorithm, and applications. New York:Academic press, 1994.3~12.
  • 3Coifman R.R., D.L. Donoho. Translation invariant de-noising. Technical Report 475, Dept. of Statistics, Stanford University, 1995.
  • 4Cohen A., I. Daubechies, R. Vial. Wavelets on the interval and fast wavelet transforms. Appl. and Comp. Harmonic Anal.,1993,1:54~81.

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