摘要
针对提高核脉冲信号信噪比这一需求,本文以小波算法为基础,创建了新的阈值函数处理方法,可以满足核脉冲信号降噪基本需求;并进一步提出了一种新的优化变步长自适应非平稳信号降噪算法EVSL,实现核脉冲信号分析。对模拟核信号与原始测量信号同步处理后,与现有算法进行指标对比,结果表明EVSL算法能兼顾收敛速度与稳态精度,有效提高信噪比、保留实际有用信息,是一种有效的提升核脉冲信号质量的方法。
To enhance the signal-to-noise ratio of nuclear pulse signals,a novel threshold function processing method based on a wavelet algorithm is developed,effectively meeting the fundamental requirements for noise reduction in nuclear pulse signals.Moreover,an optimized variable step size adaptive non-stationary signal denoising algorithm called EVSL is proposed for nuclear pulse signal analysis.Through synchronous processing of analog nuclear signals and original measurement signals,comparative evaluation with existing algorithms demonstrates that the EVSL algorithm considers convergence speed and steady-state accuracy and significantly improves the signal-to-noise ratio while preserving practical useful information.Therefore,it serves as an effective approach to enhancing the quality of nuclear pulse signals.
作者
张明智
刘娟
杨恒伟
黄晨涛
夏国图
詹彤
邹继军
ZHANG Mingzhi;LIU Juan;YANG Hengwei;HUANG Chentao;XIA Guotu;ZHAN Tong;ZOU Jijun(East China University of Technology,Nanchang 330013,China)
出处
《核电子学与探测技术》
CAS
北大核心
2024年第5期883-890,共8页
Nuclear Electronics & Detection Technology
基金
江西省自然科学基金面上项目(项目编号:20232BAB202035)
江西省国际科技合作重点项目(项目编号:20232BBH80005)。
关键词
核脉冲信号处理
小波阈值处理
自适应算法
变步长算法
算法优化
nuclear pulse signal processing
wavelet threshold processing
adaptive algorithm
variable step size algorithm
algorithm optimization
