• 一种基于线性预测算术编码光谱图像压缩方法希望有用

    Based on linear prediction and arithmetic coding of hyperspectral image compression, and I hope useful for you.

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  • 红外透射光谱技术可以简单快速准确地预测水稻直链淀粉蛋白质含量,对水稻品质分析具有重要意义。

    Near infrared transmittance spectroscopy is able to predict the amylose and protein content of rice simply, quickly and relatively correctly. Such information is useful in rice quality analysis.

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  • 使用阿斯匹林粉末药品红外漫反射阶导数光谱数据建立人工神经网络模型预测未知样品

    A real data set from near infrared reflectance spectra of aspirin used to build up artificial network to predict unknown samples.

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  • 系统拉曼光谱检测汽油拉曼光谱数据预处理、汽油辛烷值预测模型组成。

    The system consisted of on-line detection, data pre-processing, and calculate model of gasoline octane number.

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  • 前言:目的:建立褶合光谱检测预测系统

    Objective: To construct the forecasting system of limit test for convolution spectrum method.

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  • 讨论了时序建模预测方法机械设备光谱分析中的应用

    The application of time-series modeling and forecasting method to the spectral analysis for lubricating oil of mechanical equipment is discussed.

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  • 提出可见近红外光谱结合不同化学计量方法预测黄酒糖度方法

    A new approach of using visible-near infrared spectroscopy combined with different chemometric methods was investigated for the prediction of sugar content of rice wine.

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  • 采用傅立叶变换近红外(NIR)光谱建立了烟草含量NIR数学预测模型

    A mathematical prediction model of calcium in tobacco with FT-NIR spectrometry was established.

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  • 提出了一个关于趋势颜色预测的“未来展望”,分为3个趋势的故事个人的避难所光谱智能有机

    She made a presentation about the trend and colour forecasting "Future Vision" and is divided into 3 trend stories: Personal sanctuary, Spectral, and Smart organic.

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  • 为了提高制浆过程中的在线预测纸浆卡伯值精度提出采用径向函数网络建立纸浆卡伯值红外光谱在线测量模型。

    The radial basis function network is proposed to use in the determination of pulp kappa number with near-infrared spectroscopy in order to increase precision of kappa number determination.

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  • 本文利用实验室实测土壤反射光谱以及等重金属元素数据,进行土壤重金属元素含量快速预测可行性研究。

    This paper analyzed the possibility of reflectance spectra obtained under laboratory conditions for the assessment of Pb, Cd and Hg content in soil quickly.

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  • 另外本文探讨光谱采集方式分辨率酿酒葡萄模型预测能力影响

    Otherwise, the paper also discussed the spectrum collection and the different resolution effect the prediction ability of the model.

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  • INDOCI方法基础上预测B32及其包心化合物电子结构光谱与其共轭多面体C60及其包心化合物进行对比

    On the basis of INDO/CI method, the electronic structures and spectra of B32 and its endohedral complexes were studied, and compared with its conjugated polyhedron of C60and its endohedral complexes.

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  • 使用安体舒通粉末药品红外漫反射光谱数据建立人工神经网络模型预测未知样品

    A real data set from near -infrared diffuse reflectance spectra of spironolactone pharmaceutical powder was used to built up an artificial neural network model to predict unknown samples.

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  • 本文介绍了三种快速预测畜禽粪便肥料成分含量方法包括比重计测定法、电导测定法以及红外光谱分析法。

    In this article, we review three rapid methods to predict manure nutrient content, including hydrometer, conductivity meter and Near Infrared Reflectance Spectroscopy.

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  • 光谱成像的光谱分辨率增强技术中,振幅衰减干涉信号线性预测其中的关键之一

    In spectral resolution enhancement the linear prediction of exponentially decaying sinusoidal superposition signal is one of the key technologies.

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  • 首先探讨了基于提升方案整数小波变换结合线性预测技术,提出了一种机载光谱遥感图像无损压缩方法。

    A new method combining integer wavelet transform and linear prediction technique for lossless compression of airborne multispectral imagery is proposed in this paper.

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  • 本试验对近红外光谱技术预测棉籽、菜籽粕中的真可消化氨基酸含量进行了定标方程研究

    Experiments were conducted to investigate the prediction of truly digestible amino acid contents of cotton meal and rapeseed meal with NIRS.

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  • 烟碱为,建立红外光谱预测模型,采用回归分析法假设检验法模型的预测效果进行了系统的评价

    Near infrared prediction model was established to predict content of nicotine in tobacco. Evaluation on the prediction results was made by regression analysis and hypothesis testing.

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  • 本文提出了一种基于光谱八墨特征化模型,其可以准确地预测多墨打印系统的墨水配方

    A spectral-based 8-ink characterization model is developed to accurately predict the recipe for a multi-ink printer.

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  • 光谱遥感出现使得本来波段遥感中不可预测容易区分物质光谱遥感中将探测或较好的区分

    The emergence of hyperspectral remote sensing predicts or distinguishes materials easily, while the materials could not be predicted or distinguished with wide-band remote sensing.

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  • 实验结果表明:近红外光谱分析方法预测化学分析值显著相关性,相关系数0.9783。

    The results showed that the predicted data of the near-infrared analysis method is obviously correlate with the chemical analysis data. The correlation quotient is (0.9783. )

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  • 实验结果表明:近红外光谱分析方法预测化学分析值显著相关性,相关系数0.9783。

    The results showed that the predicted data of the near-infrared analysis method is obviously correlate with the chemical analysis data. The correlation quotient is (0.9783. )

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