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小波变换是一种把时间和频率结合起来的时频分析方法,D.L.Dohono在小波变换的基础上提出了小波软、硬阈值消噪法,此方法简单有效,得到了广泛的重视和研究。在经典的小波软、硬阈值消噪方法的基础上,提出了一种基于小波包分析的改进方法。Matlab仿真结果表明,此法同时克服了软、硬阈值方法的缺点,而且其消噪效果比小波消噪方法要好。 相似文献
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光纤传感信号中小波去噪的最优分解尺度确定方法 总被引:2,自引:2,他引:0
小波分解尺度选择是小波去噪中的关键,分解尺度 过大或过小,都会直接影响传感信号去噪的质量。本文 通过分析常规的分解尺度选择方法,引用指标融合算法原理从图形和统计两个角度出发选用 信噪比(SNR)、均方 根误差(RMSE)、平滑度r以及信号偏差(BIAS)4项评价指标融合 成一项指标,采用指数函数对融合指标进行拟合,并提出 一种拐点判别公式来准确判定最优分解尺度。然后,采用所提方法,结合改进的阈值和阈值 函数,对实验 信号进行最佳分解尺度寻优,实验验证结果表明,本文方法所确定的最优分解尺度对应的中 心波长反射率与实际值相符,因此能够获得更优的去噪效果。 相似文献
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Development of models for prediction of the antioxidant activity of derivatives of natural compounds
Antioxidants are important for maintaining the appropriate balance between oxidizing and reducing species in the body and thus preventing oxidative stress. Many natural compounds are being screened for their possible antioxidant activity. It was found that a mushroom pigment Norbadione A, which is a pulvinic acid derivative, shows an antioxidant activity; the same was found for other pulvinic acid derivatives and structurally related coumarines. Based on the results of in vitro studies performed on these compounds as a part of this study quantitative structure–activity relationship (QSAR) predictive models were constructed using multiple linear regression, counter-propagation artificial neural networks and support vector regression (SVR). The models have been developed in accordance with current QSAR guidelines, including the assessment of the models applicability domains. A new approach for the graphical evaluation of the applicability domain for SVR models is suggested. The developed models show sufficient predictive abilities for the screening of virtual libraries for new potential antioxidants. 相似文献
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Lorilee S.L. Arakaki Kenneth A. Schenkman Wayne A. Ciesielski Jeremy M. Shaver 《Analytica chimica acta》2013
We have developed a method to make real-time, continuous, noninvasive measurements of muscle oxygenation (Mox) from the surface of the skin. A key development was measurement in both the visible and near infrared (NIR) regions. Measurement of both oxygenated and deoxygenated myoglobin and hemoglobin resulted in a more accurate measurement of Mox than could be achieved with measurement of only the deoxygenated components, as in traditional near-infrared spectroscopy (NIRS). Using the second derivative with respect to wavelength reduced the effects of scattering on the spectra and also made oxygenated and deoxygenated forms more distinguishable from each other. Selecting spectral bands where oxygenated and deoxygenated forms absorb filtered out noise and spectral features unrelated to Mox. NIR and visible bands were scaled relative to each other in order to correct for errors introduced by normalization. Multivariate Curve Resolution (MCR) was used to estimate Mox from spectra within each data set collected from healthy subjects. A Locally Weighted Regression (LWR) model was built from calibration set spectra and associated Mox values from 20 subjects using 2562 spectra. LWR and Partial Least Squares (PLS) allow accurate measurement of Mox despite variations in skin pigment or fat layer thickness in different subjects. The method estimated Mox in five healthy subjects with an RMSE of 5.4%. 相似文献
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为促进LIBS技术在土壤微量重金属元素检测中的应用,提高特征谱线的光谱强度和信背比,对实验参数进行优化,并对Cr元素进行分析.首先对激光器激发能量、样品距透镜距离和光谱仪采集延时等实验参数进行优化.对比激光器能量从60 m J到110 m J的谱线强度和信背比,当选用90 m J的激发能量时可以得到最佳实验结果.其次,... 相似文献
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DWT-iPLS在烃源岩漫反射光谱数据处理中的应用 总被引:1,自引:0,他引:1
红外漫反射光谱技术被广泛地应用于粉末样品的定性、定量测量中。但是由于粉末样品自身的特点,颗粒度、密度、表面粗糙程度等几何参数的影响,使得漫反射光谱数据的信噪比很低、背景干扰很大。因此需要一种有效的方法对漫反射光谱数据进行预处理来提高信噪比,消除背景干扰。文章采用了离散小波变换对红外漫反射光谱进行了预处理,有效地消除了光谱中的高频噪声和低频背景的干扰,并结合iPLS(间隔偏最小二乘回归)方法进行线性回归分析,建立了用于复杂样品体系组分分析的建模方法(DWT-iPLS)。并以烃源岩的红外漫反射光谱为例,将DWT-iPLS应用于数据的预处理及建立数学模型,其结果与未用DWT预处理的方法相比较,准确度有明显的提高,证明了此方法是一种快速有效的定量分析的建模方法。 相似文献
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Chang Eun Kim Hyun Soo Shin Pyung Moon Hyun Jae Kim Ilgu Yun 《Current Applied Physics》2009,9(6):1407-1410
Effects of deposition process parameters on the deposition rate and the electrical properties of In2O3–10 wt% ZnO (IZO) thin films were modeled and analyzed by using the error back-propagation neural networks (BPNN). Output models were represented by response surface plots and the fitness of models was estimated by calculating the root mean square error (RMSE). The deposition rate of IZO thin films is affected by the RF power and the substrate temperature. The electrical properties of the IZO thin films are mainly controlled by O2 ratio and the substrate temperature. The predicted output characteristics by BPNN can sufficiently explain the mechanism of IZO deposition process. Thus, neural network models can provide the reliable explanation of IZO film deposition. 相似文献
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为了实现对拼接镜整体幅面的共相位误差的快速检 测,通过Zemax建立相位测量装置,数值模拟拼接镜 的倾斜误差检测过程。使用基于主成 分分析(PCA)、偏最小二乘回归(PLSR)的机器学习算法,替代传统的相位重建方法,从 探测面强度分布图中提取倾斜误差。预测结果表明,在单元情况下对12个样本的倾斜角进行 预测,倾斜角预测值与真实值间的均方根误差(RMSE)约为0.00029;在多元情况下,倾角的 RMSE均维持在0.0003以下。可见,在两种情况下,倾角的RMSE参量值 均小于倾斜步长。因此 ,利用机器学习算法可以实现对倾角步长为0.0005°的倾斜误差的预 测,与相位差波前检测 等传统方法相比,该方法能大幅提高预测速度,明显降低传统波前重建算法复杂度。 相似文献