| 基于EMD的脉冲星信号消噪算法 |
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| 引用本文： | 刘劲,马杰,田金文.基于EMD的脉冲星信号消噪算法[J].计算机工程与应用,2008,44(20):212-214. |
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| 作者姓名： | 刘劲 马杰 田金文 |
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| 作者单位： | 华中科技大学,图像所,多谱信息处理技术国家重点实验室,武汉,430074 |
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| 基金项目： | 中国航天科技集团五院创新基金
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国家高技术研究发展计划(863计划) |
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| 摘 要： | 为了提高脉冲星辐射信号的信噪比,提出了一种基于经验模态分解(EMD)的脉冲星信号去噪算法。利用经验模态分解将信号分解为一组固有模态函数(IMF)。针对EMD阈值消噪算法性能不稳定这一问题,该算法滤除固有模态函数噪声时,利用相邻信号标准差作为噪声水平的判断准则,并采用自适应阈值,对于噪声含量较高的信号采用低通滤波器消噪。实验结果表明,与EMD阈值消噪方法相比,该算法能获得更高的信噪比,并具有较好的稳定性。
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| 关 键 词： | 脉冲星 EMD 消噪 |
| 收稿时间： | 2007-12-25 |
| 修稿时间： | 2008-3-3
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Algorithm of pulsar signal de-noising based on EMD |
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| LU Jin,MA Jie,TIAN Jin-wen.Algorithm of pulsar signal de-noising based on EMD[J].Computer Engineering and Applications,2008,44(20):212-214. |
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| Authors: | LU Jin MA Jie TIAN Jin-wen |
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| Affiliation: | Institute for Pattern Recognition and Artificial Intelligence State Key Laboratory for Multi-spectral Information Processing Technologies，Huazhong University of Science and Technology，Wuhan 430074，China |
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| Abstract: | In order to improve the signal-to-noise of the pulsar signal,an algorithm of pulsar signal de-noising based on Empirical Mode Decomposition(EMD) is proposed.EMD method decomposes pulsar signal into a group of Intrinsic Mode Functions(IMF).Aim to the problem that the effect of EMD threshold de-noising is unstable,when IMF is de-noised,variance of near signal is used to obtain the level of noise,and adaptive threshold is used.Signal with noise is de-noised with low pass filter.The simulation results show that compared with EMD threshold de-noising,the proposed algorithm can achieve higher SNR and be stable. |
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| Keywords: | pulsar Empirical Mode Decomposition(EMD) de-noising |
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