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为了减少噪声对爆炸物检测的干扰,采用小波变换的方法对爆炸物检测数据进行处理。通过MATLAB实现信号模型的构建,选用不同小波基及特殊的阈值规则对信号进行去噪处理,以信噪比为比较标准,对比分析不同种类小波基的去噪效果,得出去噪效果最优的小波基。研究表明,对于噪声强度在一定范围内的能谱,小波变换可有效地提升信噪比,降低均方误差。
Abstract：In order to reduce the interference of noise on the detection of explosives,wavelet transform method is used to process the explosives detection data. Construction of signal model implemented by MATLAB,using different wavelet bases and special threshold rules to denoise the signal and the signalto-noise ratio is a comparative standard,comparing and analyzing the denoising effects of different kinds of wavelet bases and getting the best of the wavelet bases. The research shows that wavelet transform can effectively improve the signal-to-noise ratio and reduce the mean square error for the energy spectrum with a certain range of noise intensity.
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基本信息:
DOI：
中图分类号:TQ560.71
引用信息:
[1]于雪冰,吴艳凤,景士伟,等.MATLAB小波变换法模拟爆炸物γ能谱去噪[J].核电子学与探测技术,2018,38(03):422-425.
基金信息:
自然基金面上项目(11275046)