...高斯和滤波；粒子滤波；机动目标 中图分类号：TN953 文献标识码：A 文章编号：1004-731X (2006) S2-0900-03 [gap=879]Key words: passive tracking; Gaussian sum filter; particle filter; maneuvering target ..
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...士论文 edictive filtering-Kalman filtering,PPF-KF)、高斯和滤波-卡尔曼滤波(Gaussian sum filtering-Kalman filtering,GSF-KF)算法。
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...科技-论文中国 edictive filtering-Kalman filtering,PPF-KF)、高斯和滤波-卡尔曼滤波(Gaussian sum filtering-Kalman filtering,GSF-KF)算法。
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该方法克服了均值漂移滤波存在块状效应的缺点。实验结果表明，该方法的整体性能优于均值漂移滤波、高斯滤波和中值滤波。
Experiments show that his method overcomes the defect of blocky effect in mean shift filtering, and is superior to mean shift filtering, Gaussian scale space filtering and median filter.
实验结果表明，与传统的中值滤波和均值滤波算法相比，该算法能够有效地去除高斯和脉冲噪声，同时能够保留更多的图像细节信息。
As a result, the experiment shows that the algorithm can effectively filter out Gaussian and impulse noises, as well as preserve more detailed information of the original image.
该算法可以直接应用于原系统的非线性模型当中，并且不需考虑系统噪声和量测噪声是否为高斯白噪声，都能得到很好的滤波效果。
It could be directly applied to the nonlinear model of the initial system, and could get good filtering result whether the system noise or measured noise was Gaussian or not.
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