During the process, noise model is built by Gaussian statistics algorithm, which can extract moving object contour accurately and quickly.
在此过程中，使用高斯统计的方法建立噪声模型，使得该方法能更准确快速提取目标的轮廓。
The wavelet subband coefficients of images have highly non Gaussian statistics that may be modeled with generalized Laplacian distributions, and Bayesian estimation is used to suppress noise.
图像的小波系数具有很强的非高斯统计特性，可以建立推广的拉普拉斯先验分布，用贝叶斯估计对图像小波系数滤波来达到降噪目的。
Historically, confidence intervals could only be easily calculated for a few common PDFs (such as the Gaussian) and simple statistics (such as the mean).
在以前，只能针对一些常见的PDF(比如gaussian)和简单的统计数据(比如平均值)计算置信区间。
One of the primary applications of higher order statistics has been for the time delay estimation of non-Gaussian signal in Gaussian spatially correlated noise.
高阶统计量在信号处理中成功的应用例子之一是估计高斯相关噪声中非高斯信号的时延参数。
The fractional lower order statistics signal is one kind of random signal which contains the Gaussian signal and applies to much wide areas than the Gaussian signal.
分数低阶统计信号是一种包含高斯信号，但又具有更广泛适用性的随机信号。
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。
Fractional lower order moment (FLOM) which also is called as fractional lower order statistics (FLOS) is one forceful tool of non-Gaussian signal analysis and processing.
分数低阶矩(FLOM)或分数低阶统计量(FLOS)是另一种非高斯信号分析处理的有力工具。
Fractional lower order moment (FLOM) which also is called as fractional lower order statistics (FLOS) is one forceful tool of non-Gaussian signal analysis and processing.
分数低阶矩(FLOM)或分数低阶统计量(FLOS)是另一种非高斯信号分析处理的有力工具。
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