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second-difference
相关语句
  二次差分
     A number of effective procedures for improving the distorted Born iterative method are proposed, including the accurate and efficient solution of the direct problem, second-difference regularization, weighted least-squares solution, estimation of the initial guess by using a priori information and multiple-frequency scheme.
     该文对二维剖面重建的变形玻恩迭代法提出一系列改进方法,包括提高求解正问题的精度和计算效率,采用二次差分正则化并用加权最小二乘法解正则化反演方程,以及利用先验知识预估初值和采用增频法.
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  “second-difference”译为未确定词的双语例句
     The compensation coefficient R is the function of time sampling interval (△t), spatial sampling interval (△x), depth step (△τ), interval velocity (V), frequency (f), dip (φ) and approximate second-difference coefficient (B).
     补偿系数R是△t(时间采样间隔)、△x(空间采样间隔)、△τ(深度步长)、V(层速度)、f(频率)、φ(界面倾角)和B(二阶差分近似系数)的函数。
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  相似匹配句对
     The second;
     第二,专业设置随波逐流;
短句来源
     Second,
     二是对于?
短句来源
     The second is B-spline.
     第二种采用B样条函数法;
短句来源
     E-government's Second Spring
     电子政务第二春
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     Difference
     差异——主编思语
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  second-difference
The energy of the charges comes from interactions with an electrostatic potential, which is the solution of a symmetric second-difference Poisson equation on the lattice.
      
For example, a wavelet that is a second-difference operator can provide no information on the linear trend in a turbulence signal.
      


In this paper a method of the speech feature extraction for the ship-bridge speech recognition experiment system is described. The original character matrix is obtained from a 1/3 octave spectrum analyser. Using various different ways such as the first difference in the frequency domain; the second difference in the frequency domain; the first difference in the time domain and the Laplacian, we can obtain some different character marries from the original character matrix. Then we binarize each element of these...

In this paper a method of the speech feature extraction for the ship-bridge speech recognition experiment system is described. The original character matrix is obtained from a 1/3 octave spectrum analyser. Using various different ways such as the first difference in the frequency domain; the second difference in the frequency domain; the first difference in the time domain and the Laplacian, we can obtain some different character marries from the original character matrix. Then we binarize each element of these matries. In nonlinear time normalization we emphasize varing spectral section by two different weights. Thereby we can obtain various feature matries. On the basis of the experiments two feature marries are selected for the ship-bridge speech recognition experiment system.

本文描述了在语音识别中特征提取的一种方法。此种方法采用1/3倍频程实时频谱分析仪给出的随时间变化的频谱——三维语音频谱作为原始特征参数,对三维语音频谱分别进行频率域一阶差分,频率域二阶差分,时间域一阶差分和拉普拉斯变换,并分别进行二值化处理得到各种不同的特征参数。然后对这些特征参数进行突出过渡频谱的非线性时间域规正,得到多种特征矩阵。最后用实验方法评定了各种特征矩阵对语音识别的贡献,挑选了两种特征矩阵作为船舶驾驶台语音识别实验系统的特征矩阵。

DEM, resently has been widely used in different fields, especially in photogrammetry for topographic map production. One of the problems of DEM is how to collect data accurately, efficiently and comprehensively. Prgressive samling conceived by Makarovic is considered a more promising approach for DEM data acquisition.The basic principle of progressive sampling is progressive grid densification starting with sampling in a coarse homogenous grid and proceeding to a finer sampling in partial grids. Data collection...

DEM, resently has been widely used in different fields, especially in photogrammetry for topographic map production. One of the problems of DEM is how to collect data accurately, efficiently and comprehensively. Prgressive samling conceived by Makarovic is considered a more promising approach for DEM data acquisition.The basic principle of progressive sampling is progressive grid densification starting with sampling in a coarse homogenous grid and proceeding to a finer sampling in partial grids. Data collection and analysis are performed interactively. The result is a square grid in variable density, locally adapted to the roughness of terrain relief. Progressive sampling allows for semi-automatic operation, i. e. , computer controlled Ⅹ. Y-positioning of the measuring device of a photogrammetric stereaplotter and manual height setting (Z-positioning) by the operator. Progressive sampling can be done either on an analytical plotter or on an analogue stereoplotter interfaced with a computer by a feedback loop. Progrssive sampling has the potential of meeting the requirements on sampling, i.e., to collect terrain relief data accurately,comprehenslvely and store them in a favourable structure for later efficient process.Based on the principle of method, corresponding parameters of progressive sampling are experimetally investigated in this paper. Through the analysis of testing results, the influences of the sampling parameters on the accuracy of DEMs and the accuracy of contour lines derived from DEM, and the interrelationship between different parameters are proved. According to this, some conclusions are drawn with respect to the experiments performed in the paper, and a tentitive procedure is proposed in which the values of sampling parameters are determined by considering the accuracy specifications of topographic map and the measuring error of height, that is: under the assumption of accuracy specification for derived contour lines requiring that the standard error of checked contour points should not be larger than 1/3 of the contour interval, a proper minimum grid spacing of progrossive sampling can firstly be defined by analyzing the comprehensiveness of equispaced sampling for different regular spacings yielding a standard error of DEM of 1/5 of the contour interval. A threshold value of second difference equal to the contour interval can be chosen if the contour interval is not smaller than 5 times the standard error of measuremnet.

渐近取样法是Makarovic教授首先提出的一种DEM取样方法。本文依照此法的原理对有关参数进行了试验性的研究。通过对试验结果的分析,了解了这些参数的变化对DEM精度和从DEM得到的等高线精度的影响情况,以及参数与参数间的相互影响情况。在此基础上提出了根据地形图的精度要求和实际量测误差确定取样参数值的建议。

In the paper the autor gives a medium-term and a long term prediction of cereal output in Hubei Province using GM(1,1) model of grey systems, auto correlation regression model of second difference, exponential moving average of a cubic, exponential regression and prediction of cycle ratio models.

本文应用了灰色系统GM(1,1)模型、自回归的二阶差分模型、三次指数平滑法、指数回归和环比预测五种方法,对湖北省的粮食产量进行了中长期预测,取得了较好的效果。

 
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