搜索资源列表
SequentialMonteCarloMethods.ra
- 蒙特卡洛用于多目标跟踪的很不错的论文Sequential Monte Carlo Methods for Multiple Target Tracking and Data Fusion,Sequential Monte Carlo Methods for Multiple Target Tracking and Data Fusion
multiradas
- 多雷达数据融合中的时间对齐问题,非常具有工程参考价值.-Multi-radar data fusion in the time alignment problem, very engineering reference value.
Multi-sensorDataFusionMethodBasedonMotorFaultDiagn
- 基于多传感器数据融合方法的电机故障诊断技术经典论文，深入浅出，值得参考。-Multi-sensor data fusion method based on motor fault diagnosis classic paper , a good reference.
Lon
- 测距传感器数据在线自适应加权融合Line adaptive weighted distance sensor data fusion-Line adaptive weighted distance sensor data fusion
data-fusion
- 由于单一传感器测得信号准确性不高的问题，采用多传感器数据融合在信号处理领域得到了广泛的关注。-As measured by a single sensor signal accuracy is not high, multi-sensor data fusion in signal processing has been widespread concern.
RadarDataFusion
- 我的一篇关于雷达数据融合的文章，涉及数据处理、误差校正和仿真分析-I an article on radar data fusion, involving data processing, error correction and simulation,
multi-sensor-data-fusion
- 多传感器数据融合的入门材料，对初学者有帮助-multi－sensor data fusion
autonomous-vehicles-target-tracking
- 基于视觉的自主车为目标的数据融合跟踪使用多个相互作用的动态模型-Vision based data fusion for autonomous vehicles target tracking using interacting multiple dynamic models
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- 提出一种基于旋转机械同源数据融合的全矢Hilbert解调分析方法。将全矢谱技术融于希尔伯特解调之中, 从理论分析该方法的可行性,并将其应用于高速旋转的齿轮故障诊断中,进一步证实矢Hilbert方法的有效性。 -Vector spectrumHilbert demodulation analysis method based on the same source data fusion of rotarymachinerywas put forward. The algorithms
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- 平移不变量小波去噪方法是对Donoho阈值法的改进,该方法不仅能有效地抑制伪吉布斯现象,而且 能减小原始信号和估计信号之间的均方根误差,提高信噪比。将这种方法用于变速箱齿轮故障信号的去噪处理,同 时与阈值法去噪的结果进行比较。结果表明,该方法可以有效地去除强噪声的干扰,提取齿轮故障特征信息,具有 很好的工程实用性。 -Vector spectrumHilbert demodulation analysis method based on the same source data
Estimation-and-Data-Fusion
- estimation and data fusion
multisensor-data
- Part I Introduction to Multisensor Data Fusion 1 Multisensor Data Fusion David L. Hall and James Llinas 1.1 Introduction 1.2 Multisensor Advantages 1.3 Military Applications 1.4 Nonmilitary Applications 1.5 Three Processing Architectu
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- 采用卡尔曼滤波器对系统的俯仰角、 滚转角和航向角的误差进行最优估计；设计数据融合的判别准则，并根据判据的判断结果调整卡尔曼 滤波器中的量测信息，使系统可用于小型无人机的定高自主飞行-Kalman filter system pitch angle, roll angle and yaw angle error optimal estimation design data fusion criterion, and adjust according to the criterion of
Data-Fusion-Approach-for-Altitude-Location-Error.
- Altitude location for UAV by using federated filter is discussed, the fourth structure is selected, because its two sub-filters involving altitude sensor and the difference Global Positioning System (d-GPS) respectively are fully isolated from
data-fusion2
- 自校正加权观测融合KALMAN估计器及其应用方面的一篇硕士论文-Self-tuning weighted measurement fusion KALMAN ESTIMATION and its applications in a master' s thesis
DATA-FUSION3
- 最优和自校正观测融合状态估值器及其应用方面的一篇硕士论文。-Optimal and self-tuning measurement fusion state estimator and its applications in a master' s thesis.
Multi-Sensor-Data-Fusion-with-MATLAB
- 信息融合综述以及一些基于matlab的实现-information fusion
data-fusion
- remote sensing data fusion
Research-on-data-fusion
- GPS-DR组合定位系统数据融合算法的研究Research on data fusion algorithm of GPS-DR integrated positioning system-Research on data fusion algorithm of GPS-DR integrated positioning system
Radar-data-fusion-technology
- 雷达数据融合技术，一种多雷达系统数据融合算法-Radar data fusion technology