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数据矩阵 meaning in English

data matrix
datamatrix

Examples

  1. At first , all kinds of data for parts and subassemblies are concatenated into the form of individual matrices , and then row - matching and column - merging is used to combine the matrices into a synthetic one , showing the comprehensive information of design , process , production and management
    首先将零部件的各种数据用矩阵表达出来,然后通过“行匹配列合并运算”将相关的数据组合起来,形成一个集设计、工艺、生产、管理信息于一体的综合性数据矩阵
  2. These projections are referred to as the territorial population and employment data matrices . they are intended for internal use by government departments for strategic assessment on infrastructural requirements under different land - use scenarios . during 2004 , data matrices were prepared under two land - use scenarios for the design years of 2006 , 2011 , 2016 and 2021 for different strategic planning applications
    二零零四年,本署根据两个土地用途方案,为二零零六年、二零一一年、二零一六年和二零二一年这几个设计年编制了数据矩阵,以便在进行不同的策略性规划工作时供作参考。
  3. An algorithm for matching the esprit ' s estimation of two - dimensional angle by using twice svd and once schur is proposed . using two row uniformity sensor - arrays and adding one sensor , the algorithm decomposes the array twice and exploits rotational invariance properties of signal space , so that both angles may be computed via matrix pencil method , and these estimates are automatically paired . simulation results are presented to verify the efficacy of the proposed algorithm
    首先针对esprit算法对窄带源进行二维doa估计存在测向冗余的情况,提出了一种改进算法,该算法利用子阵信号数据矩阵中包含的信号空间的旋转不变性质,借助于矩阵束方法求解出信号的二维到达角,并且利用两次奇异值及一次schur分解从而实现了esprit二维doa估计参量的自动配对; 2
  4. Ica as a new signal processing technique is used to determine the projection coefficient matrix which represents the features characterizing the current operating condition . multiple well - trained support vector machines use the projection coefficient matrix as their inputs to identify the fault
    独立分量分析被用来从当前工况的数据矩阵中提取出代表当前工况特征的投影系数矩阵,而这些投影系数矩阵则被用来训练多个支撑向量机,从而利用它们实现故障类型的识别。
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Related Words

  1. 访问矩阵
  2. 原矩阵
  3. 连接矩阵
  4. 透射矩阵
  5. 概率矩阵
  6. 基矩阵
  7. 正定矩阵
  8. 方差矩阵
  9. 矩阵行列式
  10. 置换矩阵
  11. 数据就绪排队
  12. 数据就绪信号
  13. 数据聚合
  14. 数据聚集
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