机译:基于多模型的多伯尔诺利滤波器使用基于似然的自适应分布
School of Information and Communication Engineering University of Electronic Science and Technology of China Chengdu Sichuan 611731 P. R. China;
School of Information and Communication Engineering University of Electronic Science and Technology of China Chengdu Sichuan 611731 P. R. China;
School of Information and Communication Engineering University of Electronic Science and Technology of China Chengdu Sichuan 611731 P. R. China;
School of Information and Communication Engineering University of Electronic Science and Technology of China Chengdu Sichuan 611731 P. R. China;
Multiple maneuvering targets; Multi-Bernoulli filter; Track-before-detect; Multiple model; Adaptive birth distribution;
机译:通过具有交互式可能性的多伯努利滤波进行基于图像的多目标跟踪
机译:基于阻塞GIBBS采样的多模型广义标记多Bernoulli过滤器,用于跟踪机动目标
机译:基于多种模型高效的PAR TICE滤波器,用于操作弱目标
机译:使用自适应出生分布的基数平衡多目标多伯努利滤波
机译:使用基于降阶模型的卡尔曼滤波器进行自适应图像恢复。
机译:基于噪声阈值的自适应目标出生强度多伯努利滤波器
机译:自适应目标出生强度多Bernoulli过滤器,具有基于噪声的阈值
机译:使用基于递归最大似然的自适应卡尔曼滤波器的姿态确定和校准