• The main results are listed as theorems 1 and 2, while the conclusion. obtained from a geometric sampling model may be seen as a special case. Examples are given finally.

    主要结果有定理1、2。而几何抽样模型下的结论是本文的特例,最后附有实例。

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  • A study on sampling order for irregular geometric figure recognition was conducted.

    研究了不规则几何图形识别中的信息取样优先序。

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  • At last, by generalizing our spherical parameterization algorithm and adaptive sampling scheme to the planar case, we can adopt image compression algorithms to compress geometric signals.

    最后,通过把球面参数化算法和自适应采样算法扩展到平面,我们提出一种基于传统图像压缩技术的几何信号压缩算法。

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  • A study of the first sampling part of irregular geometric figures was conducted in the experimental method.

    用实验方法对不规则几何图形的取样首视点进行研究。

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  • The SNR of the parallel-collected images is relevant to the geometric shape and the position of the coil and is influenced by the reconstruction method and the sampling mode.

    并行采集图像的SNR,不仅与线圈的几何形态和位置有关,还受重建方法及采样模式的影响。

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  • The sampling order of both 3-dimension geometric figures and facial figures were arranged by the degree of the difference among the sampled-features.

    立体几何图形和人脸部图形的取样序有按取样信息特征差异度进行排序的趋势。

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  • For the 3-dimension geometric figures sampling, the first sampling-position was most likely located at the outline parts of the figures, and rarely at the center of gravity of the figures.

    立体几何图形的取样策略研究中,被试的首视点落在轮廓部位的概率最大,落在重心的概率极小。

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  • For the 3-dimension geometric figures sampling, the first sampling-position was most likely located at the outline parts of the figures, and rarely at the center of gravity of the figures.

    立体几何图形的取样策略研究中,被试的首视点落在轮廓部位的概率最大,落在重心的概率极小。

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