• Sensor management is a part of data fusion.

    传感器管理是数据融合的一部分。

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  • So it is of great importance to research data fusion algorithm.

    因此,对数据融合算法的研究便具有十分重要的意义。

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  • Situation assessment is an important level in data fusion system.

    态势估计是数据融合体系中的一个重要层次。

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  • Data association is one of basic questions in data fusion processing.

    数据关联是数据融合处理中基本的问题之一。

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  • Situation assessment is an important hierarchy of data fusion system.

    态势估计是数据融合体系中的一个重要层次。

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  • Study obstacle detection problem of data fusion based on multi-sensors.

    研究了基于多传感器数据融合的障碍检测问题。

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  • To solve this problem, the disperse filter data fusion scheme is proposed.

    针对这一问题,进一步提出了基于分散滤波的数据融合方案。

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  • A fire detection algorithm based on the data fusion technology was presented.

    提出了一种基于数据融合技术的火灾探测算法。

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  • It also gives some examples of the data fusion in intelligent sensing system.

    文中还给出几个数据融合在智能传感系统中的应用实例。

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  • Discusses the serial combination of high order neural network and data fusion.

    讨论了数据融合与高阶神经网络的串行结合。

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  • The trace association is a key technology in data fusion of netted radar system.

    航迹关联是组网雷达系统数据融合中的一项关键技术。

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  • The distributed data fusion can rise the system's reliability and survivability effectively.

    分布式多传感器信息融合能够提高系统的可靠性和可信度。

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  • Sensor fusion is also known as (multi-sensor) Data fusion and is a subset of information fusion.

    传感器融合也称为(多传感器)数据融合,并作为信息融合的子类。

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  • Based on data fusion method, an adaptive neuro-fuzzy controller of nonlinear systems is presented.

    基于数据融合的思想,提出一种非线性系统的自适应神经网络模糊控制器的设计方法。

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  • The most difficult problem in vector-vector data fusion is the multi-source and inconsistency of data.

    矢量空间数据融合中最难的问题来自于数据的多源性、不一致性。

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  • The paper put forward an information detection method using fuzzy data fusion technology of multi-sensor.

    文章提出了一种应用多传感器模糊数据融合技术的信息检测方法。

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  • According to the fusion levels, there are data level, feature level, decision level included in data fusion.

    从融合的层次结构出发,数据融合技术可分为数据级、特征级和决策级三个融合层次。

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  • For solving this problem a new analytic statistics method based on data fusion is put forward in this paper.

    为此,提出了一种基于数据融合的废气数据分析统计方法。

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  • 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。

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  • This will be coupled with a shift toward data fusion across multiple platforms and a move toward network-centric capabilities.

    这将推动跨多个平台的数据融合以及网络中心能力。

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  • To improve the precision of multisensor data fusion, data or track association becomes the key of target tracking filter.

    为了提高多传感器数据融合的精度,数据或航迹关联成为对目标跟踪滤波的关键。

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  • It reduces the input dimension of the controller using data fusion technique and simplifies the fuzzy controller's design.

    该方法利用数据融合技术降低了模糊控制器的输入维数,简化了模糊控制器的设计。

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  • Its display model supports interactive 3-d, data fusion, multiple data views, direct manipulation, collaboration, and virtual reality.

    它的显示模型支持交互式3 - D、数据溶合、多个数据视图、直接操作、协作和虚拟现实。

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  • In addition, a variety of data fusion models, including regression and distribution modelling, were developed using the same three vital signs.

    此外,各种数据融合模型,包括回归和分布的建模,正在使用相同的三个生命体征进行开发。

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  • This paper presents a temperature measurement system for grain depot based on multi-sensor data fusion, and gives the data fusion algorithm.

    提出了一种基于多传感器数据融合的粮库温度监测系统,给出了数据融合算法。

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  • The method of state estimation is discussed, when radars have different observation dimension in one distributed data fusion system with feedback.

    论述了带反馈分布式信息融合系统中传感器观测维数不同时的状态估计方法。

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  • Technologies that will enable these architectures include sensor data fusion, enterprise sensor calibration, and distributed sensor resource management.

    ESP -SSA架构的相关技术包括传感器数据融合、企业传感器校准和分布式传感器资源管理。

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  • The paper discusses the system architecture, knowledge representation, inference mechanism, method of data fusion and intelligent control mechanism.

    讨论了系统结构、知识表示、推理机、温度数据融合算法和智能控制方法。

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  • The paper discusses the system architecture, knowledge representation, inference mechanism, method of data fusion and intelligent control mechanism.

    讨论了系统结构、知识表示、推理机、温度数据融合算法和智能控制方法。

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