基于测量多分辨预处理的信号去噪方法
Measurement multiresolutional preprocessing method in signal denoising
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摘要: 该文将多分辨分析方法与传统Kalman滤波方法相结合,以离散小波变换为工具,建立了一种基于测量多分辨预处理的信号去噪新方法。由于小波变换特有的低通滤波特性,能有效的抑制测量噪声,相应提高了测量信号的信噪比,从而获得比原来仅在单一尺度上进行信号处理获得好的处理效果。计算机仿真验证了算法的有效性。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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