| 小波域高斯混合模型方差估计近红外降噪方法 |
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| 引用本文： | 周扬,吕进,刘铁兵,施秧,戴曙光.小波域高斯混合模型方差估计近红外降噪方法[J].光电工程,2011(8):96-100. |
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| 作者姓名： | 周扬 吕进 刘铁兵 施秧 戴曙光 |
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| 作者单位： | 浙江科技学院近红外应用技术研究室;上海理工大学光电信息与计算机工程学院; |
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| 基金项目： | 国家自然科学基金项目(51075280); 浙江省重大科技专项和优先主题计划项目(2010C11060); 浙江省自然科学基金项目(Y1100219); 上海市研究生教育创新计划; 上海市教委重点学科第五期资助项目(J50505) |
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| 摘 要： | 针对抑制近红外光谱噪声与保留光谱信号细节的矛盾,提出一种基于噪声方差估计的小波域降噪方法.该法对光谱信号小波域高频系数建立了两状态高斯混合模型,用EM算法估计模型系数,推证模型对噪声方差准确估计特性,将估计得到的噪声方差建立了阈值降噪模型.实验建立黄酒近红外光谱快速预测酒精度偏最小二乘模型,对比分析Penalty阈值、...
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| 关 键 词： | 小波变换 高斯混合模型 降噪 方差估计 近红外光谱 |
NIR Spectroscopy Noise Reduction Method Using Noise Variance Estimation by Gaussian Mixture Model in Wavelet Domain |
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| Affiliation: | ZHOU Yang1,2,Lü Jin1,LIU Tie-bing1,SHI Yang1,DAI Shu-guang2 (1.Laboratory of NIR-Applications,Zhejiang University of Sci.and Tech,Hangzhou 310023,China,2.College of Optics & Electronics Engineering,University of Shanghai for Sci.and Tech,Shanghai 200093,China) |
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| Abstract: | In order to solve the conflict between noise suppression and detail signal reservation of Near Infrared (NIR) spectroscopy,a wavelet domain noise reduction method is proposed based on the noise variance estimation.The method establishes two states Gaussian Mixture Models (GMM) of high-frequency coefficients in wavelet domain,uses Expectation Maximum (EM) algorithm to figure out the factor of model,proves that the model can accurately estimate noise variance,and puts the model to wavelet threshold noise supp... |
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| Keywords: | Wavelet transform Gaussian mixture model noise reduction variance estimation near infrared spectroscopy |
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