基于測量多分辨預處理的信號去噪方法
Measurement multiresolutional preprocessing method in signal denoising
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摘要: 該文將多分辨分析方法與傳統(tǒng)Kalman濾波方法相結合,以離散小波變換為工具,建立了一種基于測量多分辨預處理的信號去噪新方法。由于小波變換特有的低通濾波特性,能有效的抑制測量噪聲,相應提高了測量信號的信噪比,從而獲得比原來僅在單一尺度上進行信號處理獲得好的處理效果。計算機仿真驗證了算法的有效性。Abstract: This paper combines the methods of multiresolution analysis with the approaches of Kalman filtering using the tool of wavelet transforms, the measurement multiresolutional preprocessing method for signal denoising is proposed. Because the wavelet transform possesses the characteristic of lowpass, it can effectively restrain noises can increase the signal to noise ratio, thereby, by use of wavelet transform the good estimation results for signal processing are obtained. Computer simulation shows that the algorithm is feasible and effective.
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