• 如图24所示,指定以下参数设置用于稀疏查找Teradata连接器

    As shown in Figure 24, specify the following parameters to set up the Teradata connector for sparse lookup.

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  • 通过这些稀疏结果可以估计出立体像对的最大最小视差以及灰度相关阈值参数用于稠密配准

    The matching result can be used to estimate the maximum and minimum disparity, gray correlation threshold and some other parameters which play important roles in dense matching.

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  • 稳定化双共轭梯度用于求解稀疏线性方程组,可调节参数的修正迭代法用于求解非线性代数方程组

    Linear equations of sparse matrix are solved by Biconjugate Gradients Stabilized Method and nonlinear algebraic equations are solved by parameter-regulated iterative procedures.

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  • 指出通过分散文档稀疏矩阵形式进行参数传递,对不同形式变量进行合理定义,可提高程序运行效率

    The operational efficiency of program is improved when the parameters are transferred by dispersed document or sparse matrix and the variables of different forms are defined reasonably.

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  • 能量频段密集选取频率参数,相反在能量的频段稀疏选取频率参数

    The frequency parameters are set in highly denseness in high energy frequency band, but in sparse denseness in low energy frequency band.

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  • 最后利用稀疏进行三维物体运动参数结构参数估计。

    Finally, we estimate 3-d motion and structure parameters of the body by sparse optical flow.

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  • 研究单式断面明渠水流种植植被水流各个水力参数的变化,将试验数据前人试验数据进行比较发现密集植被水流的干扰程度远大于稀疏植被。

    We compare the open channel experiment data with the former data after planted flexible vegetation. From these we find the disturbance for dense vegetation is greater than thin vegetation.

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  • 通常模型框架是,在几个稀疏主要目的反射层位,以均匀充填地震参数的方式构成。

    The framework model usually consists sparsely of main seismic reflectors with seismic attributes evenly distributed between them.

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  • 最后参数空间中,应用基于信号稀疏特性线性分离方法信号进行分离。

    Finally, the linear blind source separation algorithm based on signal sparse property is applied to the parameterized mixing signals.

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  • EBRLS可以给出令人满意的参数辨识结果,甚至在可用数据极其稀疏情况仍然有效。

    The emulation illustrates that the EBRLS algorithm can acquire famous parameters identification results under the discontinuou

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  • 本文首次分辨率稀疏技术引入有耗导体结构电感参数提取过程中。

    The multi resolution sparsification technique is first introduced into the extraction of frequency dependent inductance for the lossy three dimensional conductor structures.

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  • 本文首次分辨率稀疏技术引入有耗导体结构电感参数提取过程中。

    The multi resolution sparsification technique is first introduced into the extraction of frequency dependent inductance for the lossy three dimensional conductor structures.

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