基于小波包阈值法的脉冲星信号去噪方法研究  

Research on Denoising Method of Pulsar Signal Basedon Wavelet Packet Threshold Method

作　　者：邵广盛 刘志杰[1] 余秋雨 游善平[1] Shao Guangsheng;Liu Zhijie;Yu Qiuyu;You Shanping(Guizhou Key Laboratory of Information and Computing Science,Guizhou Normal University,Guiyang 550001,China;School of Cyberspace Security,Sichuan University,Chengdu 610207,China)

机构地区：[1]贵州师范大学贵州省信息与计算科学重点实验室,贵州贵阳550001 [2]四川大学网络空间安全学院,四川成都610207

出　　处：《天文研究与技术》2021年第4期523-532,共10页Astronomical Research & Technology

基　　金：国家自然科学基金(U1731238,U1831131)资助.

摘　　要：小波变换去噪只对信号的低频部分进行分解和处理,忽略了信号的高频部分,无法对信号的整个频段进行有效的信息提取,进而影响脉冲星信号去噪的效果。提出利用小波包阈值法对脉冲信号进行分析,针对小波包分解后的系数选用不同的阈值函数处理。实验结果表明,脉冲星信号的去噪效果明显提高,其中,脉冲星信号的信噪比、峰值信噪比与平滑度指标都有相应的改善,为脉冲星信号去噪提供了一种新的思路。Wavelet transform de-noising only decomposes and processes the low-frequency part of the signal,neglects the decomposition and processing of the high-frequency part of the signal,which can not effectively extract the whole frequency band information of the signal,thus affecting the denoising effect of pulsar signal.In view of this,this paper proposes to use wavelet packet threshold method to analyze pulse signal,and selects different threshold functions to process the coefficients after wavelet packet decomposition.The experimental results show that the denoising effect of pulsar signal is improved by using this method,and the signal-to-noise ratio,peak signal noise and smoothness index of pulsar signal are improved correspondingly,which provides a new idea for the denoising of pulsar signal.

关 键 词：小波包分解 阈值法 脉冲星信号 去噪 

分 类 号：P162.5[天文地球—天文学]