核电子学与探测技术2024,Vol.44Issue(5) :883-890.

基于变步长自适应降噪核脉冲信号分析的算法优化研究

Optimized Variable Step Size Adaptive Noise Reduction for Nuclear Impulse Signal Analysis

张明智 刘娟 杨恒伟 黄晨涛 夏国图 詹彤 邹继军
核电子学与探测技术2024,Vol.44Issue(5) :883-890.

基于变步长自适应降噪核脉冲信号分析的算法优化研究

Optimized Variable Step Size Adaptive Noise Reduction for Nuclear Impulse Signal Analysis

张明智 1刘娟 1杨恒伟 1黄晨涛 1夏国图 1詹彤 1邹继军1
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作者信息

  • 1. 东华理工大学机械与电子工程学院,南昌 330013
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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.

Abstract

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.

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

Key words

nuclear pulse signal processing/wavelet threshold processing/adaptive algorithm/variable step size algorithm/algorithm optimization

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出版年

2024
核电子学与探测技术
中核(北京)核仪器厂

核电子学与探测技术

北大核心
影响因子:0.215
ISSN:0258-0934
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