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基于小波分析的气泡光散射空间谱强度分布的高斯拟合算法优化
引用本文:冀邦杰,刘继芳,邓仲芳.基于小波分析的气泡光散射空间谱强度分布的高斯拟合算法优化[J].光子学报,2007,36(8):1520-1524.
作者姓名:冀邦杰  刘继芳  邓仲芳
作者单位:1. 西北工业大学,水下信息与处理国防科技重点实验室,西安,710072
2. 西安电子科技大学,技术物理学院501教研室,西安,710071
摘    要:将小波消噪方法应用在采用CCD器件作为光传感器的尾流气泡光散射空间谱强度分布检测技术中, 发现CCD输出经过消噪后的高斯拟合曲线比其直接进行高斯拟合的结果更逼近实际的气泡光散射谱强度分布,可以有效减小测量误差,使高斯拟合算法得以优化,从而解决了CCD饱和与测量噪音对散射谱强度分布半值宽度和峰值的影响,提高了用气泡光散射谱强度分布判断水中气泡存在和气泡大小的准确度.

关 键 词:尾流  高斯拟合算法优化  小波消噪  CCD
文章编号:1004-4213(2007)08-1520-5
收稿时间:2005-08-06
修稿时间:2005-09-19

Optimized Gaussian Fitting Algorithm for Scattered Light's Spatial Spectrum Intensity Distribution of Wake Bubbles Based on Theory of Wavelets
JI Bang-jie,LIU Ji-fang,DENG Zhong-fang.Optimized Gaussian Fitting Algorithm for Scattered Light''''s Spatial Spectrum Intensity Distribution of Wake Bubbles Based on Theory of Wavelets[J].Acta Photonica Sinica,2007,36(8):1520-1524.
Authors:JI Bang-jie  LIU Ji-fang  DENG Zhong-fang
Abstract:Denoising methods based on theory of wavelets were used to process CCD signal output by detecting system for scattered light′s spatial spectrum intensity of wake bubbles. As the output signal of CCD is denoised, it can diminish the difference between real spectrum intensity distribution and the fitted curve, and consequently the Gaussian fitting algorithm is optimized. The denoising methods can also effectively reduce the influence caused by CCD saturation or its hardware noise on peak value and FWHM of spatial spectrum and results in the improvement of the precision of determining wake bubbles′ characteristic.
Keywords:Ship wake  Optimized gauss fitting algorithm  Wavelet denoising  CCD
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