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This algorithm firstly calculates the average power serial, and then finishes the detection of PN code rate through the analysis of frequency spectrum and smooth processing.
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该算法首先计算序列的平均功率，然后对其进行谱分析并作平滑处理而完成伪码速率的判定。 |
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This algorithm is adaptable to the 2-D scanning system by using the galvanometer scanner and is able to carry out th in-situ correction of laser phototyping equipment based on this working principle with the set accuracy completely satisfied.
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这种算法适用于使用振镜实现二维扫描的系统，能对应用这种原理工作的激光成型设备进行现场校正，并且能完全满足规定精度。 |
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This algorithm is based on the thinking of dangerdiscrimination and introduced antigen presenting cell and different danger signals.
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该算法以识别“危险”为核心思想，增加了对抗原提呈细胞和不同危险信号的使用。 |
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This algorithm is byte-oriented, not line-oriented.
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这个运算法则是字节导向的，不是线性导向的。 |
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This algorithm is optimal in the sense of linear minimum-variance.
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该算法在线性最小方差意义下是最优的。 |
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This algorithm is suitable for multi-unconnected curves, and can be used in tool path generation.
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算法适用于多个不连通区域的识别，为一次生成多个不连通区域的加工刀具轨迹奠定了基础。 |
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This algorithm is to work out the correction table by using the theoretical data to contrast with the real data of the corresponding points in laser beams so as to correct the pillow-shaped distortion and other errors in terms of the interpolation algorit
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该算法用理论数据与激光束在相应点的实际数据进行比对，制成校正表，按插值算法校正实际的枕形畸变及其它误差。 |
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This algorithm is very helpful for data organization and accuracy control.
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该算法便于数据组织，易于精度控制。 |
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This algorithm overcomes the deficiency of present methods in two aspects: (1) by introducing the mass matrix into optimal variable, the method broad the range of the optimization; (2) to solve the optimal problem with nonconvex constraint induced by cont
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该算法在以下两个方面突破了现有算法的局限性：将质量矩阵纳入优化变量，拓宽了优化范围；采用凸化势能函数处理将控制引入结构设计导致的非凸约束，大大降低了算法复杂度。 |
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This algorithmcarries on two values pictures processing in the differencefoundation, according to the human body statistical characteristic,proposed through the judgement projection curve second time derivativesize, determines the person face boundary the
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该算法在差分的基础上进行二值图像处理，根据人体的统计特征，提出通过判断投影曲线的二阶导数大小，来确定人脸边界的方法。 |
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This algorithmmerit is may delete the background picture in with the person faceimage same fixed region, not only can effectively restrain thebackground noise, reduces by mistake examining rate, moreover also canreduce the person face examination scope, s
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该算法的优点是可将背景图像中与人脸图象相同的固定区域删除，不仅能有效地抑止背景噪声，减少误检率，而且还能缩小人脸检测范围，加快检测速度。 |
