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分层融合
相关语句
  hierarchical fusion
    Study of Performance of Multisensor Hierarchical Fusion Algorithm with Feedback
    带反馈多传感器分层融合算法性能研究
短句来源
  “分层融合”译为未确定词的双语例句
    An Algorithm for Quasihierarchy Fusion of Multisensor Data
    多传感器数据的准分层融合
短句来源
    ,the result indivates that performance of algorithm with complete feedback is not good as that of algorithm with partial feedback and moreover,in the case of complete feedback,increment of data rate does not improve the performance.
    于近期研究了两传感器非实时分层融合算法的稳定性能,其研究结果表明全反馈条件下的算法融合性能要劣于部分反馈算法,特别是当过程噪声较大时提高传感器与融合中心的通信频率并不能改善全反馈算法的性能。
短句来源
    An algorithm for quasihierarchy fusion of data,which is used to solve the nonliner problems in the multisensor system,is introduced in this paper.
    本文针对非线性多传感器系统的状态估计问题,提出了准分层融合算法。
短句来源
    The theoretical results have proved that the algorithrn can be considered as the generalized Kalman filter of multisensor The practical needs have shown that the algorithm has a more bright future in the application than the algorithm in ̄[1] for the hierarchy fusion in the liner system does.
    实际需要表明,该算法比文献 ̄[1]中线性系统的分层融合法更有应用前景。
短句来源
    Different from their research,we pay more attention to the effect of number of sensors on the steady performance of the algorithm with different feedback mechanism.
    与上述研究不同,重点考察了融合系统中传感器数目对非实时有反馈分层融合算法性能的影响。
短句来源
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  hierarchical fusion
Hierarchical Fusion of Multiple Classifiers for Hyperspectral Data Analysis
      
All relevés were clustered, using a hierarchical fusion technique.
      
As examples we will discuss a flat fusion and a two-step hierarchical fusion.
      
For that reason for every object a certain hierarchical fusion strategy can be defined.
      
In the hierarchical fusion architecture, we could not demonstrate the need for adaptive fusion as clearly.
      
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An algorithm for quasihierarchy fusion of data,which is used to solve the nonliner problems in the multisensor system,is introduced in this paper.First,the quasihierarchy fusion for formulas of the state estimation are deduced.Second,their computation method is given and their characterictics are discussed.Finally,the realization architecture for the above algorithm is also pres-ented.The theoretical results have proved that the algorithrn can be considered as the generalized Kalman filter of multisensor The...

An algorithm for quasihierarchy fusion of data,which is used to solve the nonliner problems in the multisensor system,is introduced in this paper.First,the quasihierarchy fusion for formulas of the state estimation are deduced.Second,their computation method is given and their characterictics are discussed.Finally,the realization architecture for the above algorithm is also pres-ented.The theoretical results have proved that the algorithrn can be considered as the generalized Kalman filter of multisensor The practical needs have shown that the algorithm has a more bright future in the application than the algorithm in ̄[1] for the hierarchy fusion in the liner system does.

本文针对非线性多传感器系统的状态估计问题,提出了准分层融合算法。文中,首先推出了准分层融合估计式,而后说明其算法,并讨论其性质,最后,给出其工程上可实现的结构框图。理论结果表明,该算法可用作多传感器的广义卡尔曼滤波。实际需要表明,该算法比文献 ̄[1]中线性系统的分层融合法更有应用前景。

Aim To analyze the traditional hierarchical Kalman filtering fusion algor- ithm theoretically. explain that the traditional Kalman filtering fusion algorithm is complex and can not improve the tracking precision well , and propose the weighting average fusion algorithm. Methods The theoretical analysis and Monte Carlo simulation methods were used to compare the traditional fusion algorithm with the new algorithm. and the statistical values of the root- mean- square error of the two algorithms were computed....

Aim To analyze the traditional hierarchical Kalman filtering fusion algor- ithm theoretically. explain that the traditional Kalman filtering fusion algorithm is complex and can not improve the tracking precision well , and propose the weighting average fusion algorithm. Methods The theoretical analysis and Monte Carlo simulation methods were used to compare the traditional fusion algorithm with the new algorithm. and the statistical values of the root- mean- square error of the two algorithms were computed. Results The weighting filtering fusion algorithm is simple in principle, less in data, faster in processing and better in tolerance. Conclusion The weighting hierarchical fusion algorithm is suitable for the defective sensors. The feedback of the fusion result to the single sensor can enhance the single sensor's precision.

分析传统分层卡尔曼滤波融合算法,指出传统卡尔曼滤波融合算法不能很好地提高跟踪精度且算法复杂的缺陷.提出一种加权分层卡尔曼滤波融合算法.方法应用理论分析和蒙特卡洛仿真方法,对传统融合算法和新算法进行比较,并给出了均方根误差的统计值.结果加权滤波融合算法原理简单,数据处理量小,速度快,容错性好.结论加权分层融合算法特别适用于失效传感器的处理,将融合结果反馈给单传感器,可提高各单传感器的跟踪精度.

Of late years,steady performance of two sensor hierarchical fusion algorithm with nonfullrate communication was evaluated by Chang K.C.,the result indivates that performance of algorithm with complete feedback is not good as that of algorithm with partial feedback and moreover,in the case of complete feedback,increment of data rate does not improve the performance.Different from their research,we pay more attention to the effect of number of sensors on the steady performance of the algorithm with different feedback...

Of late years,steady performance of two sensor hierarchical fusion algorithm with nonfullrate communication was evaluated by Chang K.C.,the result indivates that performance of algorithm with complete feedback is not good as that of algorithm with partial feedback and moreover,in the case of complete feedback,increment of data rate does not improve the performance.Different from their research,we pay more attention to the effect of number of sensors on the steady performance of the algorithm with different feedback mechanism.It shows that for algorithm with complete feedback,in the case of process noise being relatively large,increase on the number of sensors does not improve but worsens the performance.This conclusion is extension and development of work of Chang K.C.and,from another aspect,verifies that quality of information is much more important than quantity.

Chang K.C.于近期研究了两传感器非实时分层融合算法的稳定性能,其研究结果表明全反馈条件下的算法融合性能要劣于部分反馈算法,特别是当过程噪声较大时提高传感器与融合中心的通信频率并不能改善全反馈算法的性能。与上述研究不同,重点考察了融合系统中传感器数目对非实时有反馈分层融合算法性能的影响。研究结果表明:当过程噪声较大时,增加传感器的数目不仅不能改善全反馈算法的性能反而会使性能降低;所得结论进一步推广和发展了Chang K.C.的研究成果,并从另一侧面验证了融合信息的质量比数量更为重要的论断。

 
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