robust Gaussian filtering 稳健高斯滤波
adaptive gaussian filtering 自适应高斯滤波
Gaussian filtering algorithm 高斯滤波算法
nonlinear gaussian filtering 非线性高斯滤波
anisotropic gaussian filtering 各向异性高斯滤波
Small Scale Gaussian Filtering 小尺度高斯滤波
Gaussian particle filtering 高斯粒子滤波
Gaussian weighted filtering 高斯加权平滑
It is robust to JPEG compression, Gaussian Filtering, Median Filtering and so on attacks.
试验表明该方法具有良好的抗JPEG压缩，中值滤波，高斯滤波等攻击的能力。
参考来源 - 基于数字图像的信息隐藏技术Recently there has been a surge of interest in nonlinear and non-Gaussian filtering.
近些年出现了一个研究非线性非高斯滤波算法的高潮。
参考来源 - 基于粒子滤波的多目标跟踪算法研究·2,447,543篇论文数据，部分数据来源于NoteExpress
The experiment shows that the new method is more efficient and easier to realize than the conventional Gaussian filtering methods.
实验表明，与传统的高斯滤波方法相比，新方法算法简单，计算效率高，且易于实现。
Robust statistics is introduced to enhance the robustness of Gaussian filtering. Several selected robust weight functions are adopted and compared.
引入稳健统计学的思想，对高斯滤波进行了稳健处理，并比较了几种稳健估计权函数对高斯滤波性能的改进。
In Chapter 2, we present nonlinear filtration theory, and find out the nonlinear conditional Gaussian filtering estimation under one dim and multi dims.
第二章引入非线性滤波理论，给出一类关于条件高斯过程的一维和多维非线性滤波估计。
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