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1)  linearity energy window
线性能窗
2)  multi-window linearity reserve
多窗口线性保持
1.
In order to extract water information from high-spatial remote sensing images, wavelet technique was used to expend the information of the object images, and clean main noise of the images; then another method was present to conserve linear water, which is called multi-window linearity reserve technique, then character noise cleaning is used to clean the image noise.
针对高分辨率影像水体信息提取,利用小波技术对图像进行膨胀和去噪处理,并提出了一种多窗口线性保持技术对线性水体进行保持,最后利用水体信息的地学特征,对图像进行联合特征去噪,获取最终的水体影像信息。
3)  windowed linear prediction
加窗线性预测
1.
Upon it, a windowed linear prediction method under the MMSE law is presented for estimating the channel initial frequency response.
为了得到更精确的迭代信道估计中的信道初始频响值,在基于二次曲线拟合预测的OFDM系统联合迭代信道估计与符号检测算法的基础上,提出一种基于MMSE准则的加窗线性预测方法对信道的初始频率响应值进行估计。
4)  Gaussian linear chirp window
高斯线性调频窗
1.
The auto-term support of the WD is estimated from a set of spectrograms with Gaussian linear chirp windows(GLCW\'s),where the auto-term supports of all the spectrograms are estimated by thresholding the spectrograms followed by morphological filtering,and then the intersection set of all the estimated supports is used as the auto-term support estimate of the WD.
WD自项支撑是从具有高斯线性调频窗(GLCW)的谱图集合中估计出来的。
5)  energy window
能窗
1.
We describe the basic rule of setting of the energy window and calculation of widthof the energy window in the analysis of the Gamma energy spectrum,and explain howthe setting of the energy window influences analysis and calcuation of the spectrum bynatural Gamma energy spectra of some rock cores here.
着重阐述了能窗设置的基本原则以及能窗宽度的计算,并通过几组岩石样品的自然伽马能谱分析,说明了能窗的设置对解谱结果的影响。
6)  yarn property
纱线性能
补充资料:多波长线性回归
分子式:
CAS号:

性质:对多组分样品在多个波长进行吸光度测量,基于吸光度加和性原理,建立线性回归方程,求解各组分的含量。这种方法在多组分光度分析中广泛应用。

说明:补充资料仅用于学习参考,请勿用于其它任何用途。
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