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一种改进的小波阈值消噪方法
A new signal method based on wavelet transform
【摘要】 在运用小波阈值法去噪时,在一些不连续点处有时会产生伪吉布斯现象。为了去除这种现象,考虑在阈值法的基础上对信号进行循环平移,然后再对平移后阈值上的系数进行放大,对信号进行消噪处理。通过仿真实验,可知该方法消噪后的视觉特性较好,并且信噪比提高,均方根误差有所降低,从而说明了该方法的有效性。
【Abstract】 In some case,such as on the discontinuities points,the Gibbs phenomenon will exhibit when we use wavelet thresholding to remove noise of signals.In order to remove this phenomenon,we consider the "cycle spinning" method based on threshold wavelet and then use the coefficient magnify to remove the signal noise.The results of the experiment show that the vision of deniosing is better and the RMSE of signal has been decreased a lot while the SNR has been increased,which indicates the method presented in this paper is effective.
【关键词】 小波分析;
傅立叶分析;
平移不变量;
阈值消噪;
系数放大法;
【Key words】 wavelet transform; Fourier transform; translation invariant; threshold method denoising; coefficient magnify;
【Key words】 wavelet transform; Fourier transform; translation invariant; threshold method denoising; coefficient magnify;
【基金】 国家自然科学基金资助(10361003);广西自然科学基金项目(0542046)
- 【文献出处】 广西工学院学报 ,Journal of Guangxi University of Technology , 编辑部邮箱 ,2006年02期
- 【分类号】TN911.4
- 【被引频次】13
- 【下载频次】144