数字信号处理中的Gibbs效应及其抑制算法的研究
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中国电子科技集团公司第四十一研究所,电子测试技术国防科技重点实验室青岛370200

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TN98

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Gibbs effect on pulse extraction and its suppression algorithm
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The 41st Research Institute of CETC, National Key Lab of Electronic Measurement Technology,Qingdao 370200,China

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    摘要:

    为了消除时频域转换过程中在边界点或间断点存在的Gibbs现象,提高转换后数据的准确度;首先通过分析时频域转换过程中Gibbs现象的形成机理,针对时域加窗引入边界点或间断点导致的振荡误差,引入了根余弦窗函数。为了更好地抑制起伏振荡误差,提出了一种改进的根余弦凯撒窗函数。通过MATLAB仿真和数据对比;根余弦凯撒窗函数能有效地抑制了起伏振荡误差,消除了Gibbs现象。仿真结果证明了算法的有效性。

    Abstract:

    In order to eliminate the Gibbs phenomenon existing in the boundary point or discontinuity in the process of timefrequency domain conversion and improve the accuracy of the data after transformation, a method for pulse extraction, which uses rootraised cosine function during extracting pulse, for the rolling oscillation error because of the boundary or break point introduced by rectangle window at time domain,is introduced, by analyzing the causes of the Gibbs phenomenon in the process of timefrequency domain conversion rolling oscillation error in the process of rectangle window extraction. In order to restrain Rolling oscillation error, an advanced method, which is rootraised cosine Kaiser extraction, is proposed. It could be found that the Gibbs phenomenon is eliminated by the rootraised cosine Kaiser extraction through MATLAB simulation and comparison of the data.The effectiveness is proved by the simulated result at last.

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肖唐良.数字信号处理中的Gibbs效应及其抑制算法的研究[J].电子测量技术,2016,39(11):71-74

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  • 在线发布日期: 2016-12-30
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