针对目前离散小波变换阈值去噪仍保留较多的噪声或者产生不期望的震荡等问题,通过对离散小波变换阈值去噪效果分析,提出适合动态称量信号特点的强制性阈值去噪方法,建立强制性阈值去噪分解重构算法,并应用MATLAB语言实现.试验表明:动态称量信号去噪后得到的质量值稳定性较好,相对误差在一1.5%~2.0%之间,且动态称量信号数据处理速度得到提高.
Abstract
To solve the problem of much noise and unwanted shaking remained after threshold denoising on dynamic weight signal, and by analyzing the effect of threshold denoise method of wavelet transform, the compelling threshold suitable for dynamic weight signal was put forward. The decomposition and re- construction arithmetic of the compelling threshold was realized using MATLAB language. The result indicates that after denoising the stability of the weighting value is better, the relative error is between -1.5% -2.0% , and the processing speed of dynamic weight signal is improved to certain extent.
关键词
称量 /
小波变换 /
强制性阈值去噪 /
MATLAB
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Key words
weighting /
wavelet transform /
compellent threshold denoise /
MATLAB ;
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参考文献
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脚注
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基金
江苏省教育厅自然科学基金资助项目(03KJD410071);江苏大学高级专业人才科研启动基金资助项目(08JDG048);江苏大学大学生科研基金资助项目(05A039).
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