1) Distributed weighted fusion
分布式加权融合
2) distributed fusion
分布式融合
1.
Based on analysis of the method of improved Bayes,first of all,the paper builds the models of multi-information and multi-source in series and in parallel,then gives a method of the information distributed fusion.
在分析改进的Bayes融合方法的基础上,建立了多源信息的串联融合模型和多信息源的并联融合模型,提出了基于Bayes理论的信息分布式融合方法。
2.
Distributed fusion algorithm for nonlinear/non-Gaussian situations is addressed.
各传感器节点采用IMM-PF算法,以便在非线性、非高斯条件下稳健地跟踪机动目标;融合中心则采用基于粒子滤波(PF)的分布式融合方法进行全局估计融合。
3.
Asynchronous track fusion algorithms in distributed fusion systems are studied.
对分布式融合系统中的异步航迹融合算法进行了研究。
3) grouping weighted fusion
分组加权融合
4) block-weighted fusion
分块加权融合
1.
For the multi-focus images,the optimized fusion image can be obtained by block-weighted fusion method.
该方法采用适应度函数为EI的遗传算法实现,并且结合分块加权融合方法融合多聚焦图像,得到最优融合结果。
5) Distributed hierarchical fusion
分布式分层融合
6) weighted fusion
加权融合
1.
Real-time Outliers Detection in Multi-Source Trajectory Data Based on Weighted Fusion;
基于加权融合的多信源弹道数据实时野值检测方法
2.
By combining the hardware redundant technique with weighted fusion algorithm and gray forecast model,a mining robot transducer fault-tolerant system based on mixed redundancy is constructed,with abilities of sensor fault detection,fault isolation and tolerance,and it ensures that the sensor s output is always valid when sensor s faults are not happened simultaneously.
针对深海环境的特殊性,对集矿机传感器容错方法进行了研究;利用双传感器冗余策略,同时把加权融合算法和灰色预测模型结合起来,构建一个基于混合冗余的传感器容错系统,用于集矿机传感器故障的检测、分离和容错,保证了集矿机双传感器在不同时发生故障的情况下系统输出始终有效;仿真结果验证了这一方法的可行性。
3.
As different properties are reflected by the dynamic model and static-state model, one multi-model weighted fusion method which is used to estimate the torque is proposed in this paper.
然后利用两模型分别计算转矩,由于动态模型和静态模型是从不同的方面反映电机特性,本文提出了对动态模型和静态模型加权融合估计转矩的方法,利用Simulink搭建电机模型,进行了仿真分析,验证了模型融合方法的有效性。
补充资料：分布
分布
distribution
营养物质、药物等通过血管壁而进入组织细胞的过程；或指病灶、病变在体内的定位分布。
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参考词条