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error covariance meaning in Chinese

误差协方差

Examples

  1. A recursive algorithm of error covariance matrix of moving horizon estimation
    滚动时域估计中先验估计误差协方差阵的递归算法
  2. A sub - optimal kalman filter is presented in chapter 3 , and the relative error covariance matrix ( recm ) is introduced to evaluate the performance of the fusion process ; 3
    给出一种多传感器分布式次优kalman滤波器,并以相对误差协方差矩阵作为量化指标,对该滤波器的融合效果进行评估; 3
  3. Based on the multi - scale representation theory , we present a reduced order model for the solving of the inverse problem . also the relative error covariance matrix is used to analyze the performance of models with different orders ; 4
    基于小波多尺度表示理论给出逆问题求解的多尺度降阶模型,同时用相对误差协方差矩阵对阶数不同的降阶模型的估计精度进行分析; 4
  4. Based on the method expressing the positional uncertainty of point entities in surveying and mapping , uncertainty ellipse was employed to characterize the uncertainty region for the error dispersal of 2d target ' s position , and uncertainty ellipsoid for the 3d target . 1 - uncertainty ellipse was derived from positional error covariance
    借鉴测绘学科中衡量点元位置不确定性的方法,分别用椭圆和椭球来表示二维目标和三维目标的位置误差散布的不确定性区域。
  5. And then facing the problem of the channel estimation of the adaptive modulation system , we conclude out the channel estimation algorithms on maximum likelihood ( ml ) estimation and maximum a posteriori ( map ) estimation under the condition of flat fading channel and selective fading channel in detail . to meet flat fading channel , we simulate the relationship of the ratio between the error covariance in map estimation and ml estimation and pilot symbol message length . the conclusion can be drawn from these results
    接着,对自适应调制系统中的信道估计问题难点,详细推导了平衰落信道条件下和选择性衰落信道条件下最大似然( ml )估计和最大后验概率( map )估计算法,针对平衰落信道,我们仿真了map估计和ml估计的方差与导频符号长度的关系,仿真结果表明,错误方差受多谱勒频率的变化影响最大,并且对实际的自适应调制系统,导频符号长度的取值超过20个符号长度时, map信道估计明显优于ml信道估计。
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Related Words

  1. covariance
  2. sampled covariance
  3. covariance component
  4. covariance matrix
  5. variance covariance
  6. centered covariance
  7. population covariance
  8. partial covariance
  9. covariance structure
  10. covariance partitioning
  11. error counting
  12. error counting time
  13. error creating library file for writing
  14. error criteria
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