Then the data fusion process and the parameters initializing are practically discussed.
对数据融合过程，参数的初始化问题进行了实用性讨论；
The normal plot fusion method needs to calculate weight coefficients from the measurements, and the weight coefficients are constant in data fusion process.
常用的点迹融合算法是基于测量数据统计加权的融合算法，其权系数在整个融合过程中固定不变。
With the analysis of the Environment Multi-sensor Data Fusion process in, this thesis brings out the simulation testing system structure, and describes function of its every module.
通过对多传感器信息融合处理环境的分析，给出了仿真测试系统的总体结构，对各模块的功能进行了描述。
Based on the technology of data fusion, a method is presented to process distributed detection parameters. This method can efficiently improve the precision of measuring result.
介绍一种采用数据融合技术对分布式检测参数进行数据处理的方法，可以有效地提高测量结果的精度。
Aiming at this case, this paper USES a method of grey superior analysis based on adaptive weighted data fusion to process the sensor data.
针对这一情况，本文应用了一种基于自适应加权数据融合的灰色优势分析方法对传感器数据进行处理。
A basic function module and the recognition process are discussed. Meanwhile, several main data fusion technology used in these modules are introduced.
文中论述了辐射源和平台识别的基本功能模型以及识别过程，各功能模块中应用的几种主要的数据融合技术。
Multisensor information fusion refers to any procedure where different sources of sensory data in the integration process are combined into one representational format.
多传感器信息融合是指将经过集成处理的多传感器数据进行合成，形成对外部环境某一特征的一种表达方式的过程。
The definition, fundamental, fusion levels, process model, fusion methods of data fusion are summarized firstly.
首先对数据融合的定义、基本原理、融合层次、功能模型、融合方法等几个方面进行了综述。
This paper introduces the method of data fusion by using the characteristic values during the process of data processing to reduce the uncertainty of the measurement.
介绍了数据处理过程中利用特征值的数据融合方法以减少测量的不确定性。
Context fusion process language disjoins fusion logic and data processing, increases the reusability, and simplifies the development of context-aware application.
上下文融合流程语言将融合逻辑和上下文数据处理隔离开来，提高了复用性，大大简化了上下文感知应用的开发。
A method of grey superior analysis based on adaptive weighted data fusion is used to process the multi-sensors data.
本文应用了一种基于自适应加权数据融合的灰色优势分析方法对多传感器数据进行处理。
The general process and the fusion topologies of data integration and information fusion are reviewed.
简要综述了数据集成与信息融合的一般过程及融合结构。
The data sources for a fusion process are not specified to originate from identical sensors.
融合处理的数据源并不是特指由相同的传感器产生。
Take the model of laser range finder based on synchronized scanner as example, show how to use data fusion method in the process of sensor model designing to get more robust output.
以激光同步扫描测距传感器的数学模型分析为例，介绍了在传感器数学模型设计过程中采用数据融合的思想，以使得传感器的输出更加可靠的过程。
A new kind of fiber flame detector is introduced. The components and characteristics of this system are expounded. The multi-signal process based on data fusion of fuzzy reasoning is given out.
介绍一种新型光纤燃煤炉火焰检测器，阐述其系统组成及特点。并提出了基于模糊推理的多信号融合处理方法。
The process of data fusion is designed and the algorithm of D-S theory is implemented. The feasibility of IDS based D-S theory is validated in the trial.
本文设计了信息融合处理的流程，实现了证据推理的算法，并通过仿真试验验证了证据推理在入侵检测中的可行性。
Systematic error estimation is an important process for data fusion and target tracking in radar networking system, and observability is the key factor which determines the estimation accuracy.
系统误差估计是雷达组网融合跟踪系统的重要环节，而可观测度又是决定误差估计效果的关键因素。
The basic concepts, association rules, process, standard of decision and theory of D-S evidence reasoning applied to data fusion are analyzed in detail.
阐述了D - S证据理论用于多传感器数据融合的基本概念、合成法则、一般步骤及决策准则。
The threat assessment, which is the highest order process of data fusion, inference or detect on intrusion threats or malicious activity according to the cyber-space situation assessment.
其中层次较高的威胁评估是根据网络安全态势感知结果，推测或判断威胁程度以及可能的行动方案。
Registration is a prerequisite process for the data fusion in radar networking system to estimate and correct systematic errors accurately.
传统的雷达组网作战效能评估一般采用定性评估方法，而对于精确的定量评估，目前尚缺有效的方法。
Registration is a prerequisite process for the data fusion in radar networking system to estimate and correct systematic errors accurately.
传统的雷达组网作战效能评估一般采用定性评估方法，而对于精确的定量评估，目前尚缺有效的方法。
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