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有均匀线阵的CRB曲线,Relief计算分类权重,D-S证据理论数据融合,粒子图像分割及匹配均为自行编制的子例程,虚拟力的无线传感网络覆盖,各种kalman滤波器的设计。-There ULA CRB curve, Relief computing classification weight, D-S evidence theory data fusion, Particle image segmentation and matching subroutines themselves are pr
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各种kalman滤波器的设计,pwm整流器的建模仿真,包括最小二乘法、SVM、神经网络、1_k近邻法,D-S证据理论数据融合,虚拟力的无线传感网络覆盖,包括广义互相关函数GCC时延估计。-Various kalman filter design, Modeling and simulation pwm rectifier Including the least squares method, the SVM, neural networks, 1 _k neighbor method, D-S
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采用卡尔曼滤波完成对于目标状态的融合估计和跟踪,实现多传感器对移动目标的持续有效跟踪。(Calman filter is used to complete the fusion estimation and tracking of the target state, and the multi sensor continuous and effective tracking of moving target is realized.)
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