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10.3788/AOS201737.0730001CSCD[陈丛 Chen Cong], 2012, [光学学报, Acta Optica Sinica], V32, P0530001; Diniz P. S. R., 2008, ADAPTIVE FILTERING A, P77; [傅博 Fu Bo], 2016, [光学学报, Acta Optica Sinica], V36, P0230003; [高红霞 Gao Hongxia], 2014, [光学精密工程, Optics and Precision Engineering], V22, P3100, DOI 10.3788/OPE.20142211.3100; [韩庆阳 Han Qingyang], 2015, [光谱学与光谱分析, Spectroscopy and Spectral Analysis], V35, P3406, DOI 10.3964/j.issn.1000-0593(2015)12-3406-04; [蓝集明 Lan Jiming], 2012, [计算机工程与应用, Computer Engineering and Application], V48, P141, DOI 10.3778/j.issn.1002-8331.2012.10.031; Lu DY, 2016, J COMPUT APPL MATH, V302, P224, DOI 10.1016/j.cam.2016.02.013; [卢启鹏 Lu Qipeng], 2012, [光学精密工程, Optics and Precision Engineering], V20, P873, DOI 10.3788/OPE.20122004.0873; Meher SK, 2014, AEU-INT J ELECTRON C, V68, P1173, DOI 10.1016/j.aeue.2014.06.006; Mohan J, 2013, BIOMED SIGNAL PROCES, V8, P779, DOI 10.1016/j.bspc.2013.07.005; Om H, 2014, SADHANA-ACAD P ENG S, V39, P879, DOI 10.1007/s12046-013-0185-6; Rodrigues PM, 2015, PROCEDIA COMPUT SCI, V64, P879, DOI 10.1016/j.procs.2015.08.600; [王书涛 Wang Shutao], 2015, [中国激光, Chinese Journal of Lasers], V42, P1115001; [王书涛 Wang Shutao], 2014, [中国激光, Chinese Journal of Lasers], V41, P0915001; [吴德操 Wu Decao], 2016, [光谱学与光谱分析, Spectroscopy and Spectral Analysis], V36, P1044, DOI 10.3964/j.issn.1000-0593(2016)04-1044-07; [夏良平 Xia Liangping], 2013, [光学学报, Acta Optica Sinica], V33, P0530003; 林洁丽, 2000, 高分辨(饱和)分子光谱谱线线型、线宽及其应用的研究, P15; 周涛, 2008, 烟气排放紫外差分吸收光谱实时监测方法的研究, P33; 中国国家标准管理委员会, 2011, GB/T 26798-2011单光束紫外可见分光光度计, P1; 颜军, 2007, 改进的维纳滤波在地震资料处理中的应用, P27; 孙轶, 2008, 基于自适应提升小波的信号去噪技术研究, P23; 夏若彬, 2007, CCD光谱测量系统的数据采集及信号数字化处理, P56; 崔晓杰, 2006, 维纳滤波的应用研究, P2; 李晓杰, 2014, CCD光电参数测试方法研究及系统设计, P47246209282377光学学报提出一种光谱信号噪声的乘性加性混合分析模型,并采用维纳滤波和同态滤波相结合的算法对光谱信号进行去噪处理。仿真结果表明,该算法比移动平均算法、最小均方算法和递归最小均方算法具有更好的去噪性能。实验结果表明,氙灯光谱信号中的噪声符合乘性加性混合模型。与移动平均算法、最小均方算法和递归最小均方算法相比,从该算法处理后的汞灯光谱信号中能够提取更加稳定的谱峰谷位置、谱峰幅度、谱峰半峰全宽等特征值,定量分析时能获得更好的结果。2017spectroscopy; Wiener filtering; homomorphic filtering; additive noise; multiplicative noiseREORTSOM21743An analysis model for mixed multiplicative and additive noise of spectral signal is built,and an algorithm combining Wiener filtering and homomorphic filtering is proposed to denoise the spectral signal.Simulation results show that the proposed algorithm has better performance than moving average algorithm,least mean square algorithm and recursive least square algorithm.Experimental results indicate that the noise in xenon lamp spectral signal matches the mixed multiplicative and additive model.Compared with moving average algorithm,least mean square algorithm, and recursive least squares algorithm,after the mercury lamp spectral signal is processed by the proposed algorithm, more stable characteristic spectral parameters can be extracted,such as peak and valley locations,peak amplitude and full width at half maximum.Better result can be obtained in quantitative analysis with the proposed algorithm.DenoisingMethod of Spectral Signal with Multiplicative and Additive Mixed Random Noises期刊论文光谱信号乘性加性混合随机噪声去除方法Chinese光谱学; 维纳滤波; 同态滤波; 加性噪声; 乘性噪声陈正伟; 张方; 周扬; 黄惠杰730001 CSCD:6028797
中文题目: 光谱信号乘性加性混合随机噪声去除方法
外文题目: DenoisingMethod of Spectral Signal with Multiplicative and Additive Mixed Random Noises
作者: 陈正伟; 张方; 周扬; 黄惠杰
刊名: 光学学报
年: 2017 卷: 37 期: 7 文章编号:730001
中文关键词:
光谱学; 维纳滤波; 同态滤波; 加性噪声; 乘性噪声
英文关键词:

spectroscopy; Wiener filtering; homomorphic filtering; additive noise; multiplicative noise
中文摘要:
英文摘要:
文献类型: 期刊论文
正文语种: Chinese
收录类别: CSCD  
DOI: 10.3788/AOS201737.0730001
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