1) non-Gausssian test
非高斯性检验
2) Gaussian detection
高斯性检验
1.
A Gaussian detection algorithm based on stationary signals of the high order spectrum is proposed to improve the Gaussian detection performance on symmetrical distribtution and impact sample for a relative small data size.
为了提高短数据序列下对称分布和冲击型样本的高斯检验性能,提出了一种基于高阶谱的平稳随机信号的高斯性检验算法。
3) Gaussianity test
高斯检验
1.
At first, a binary moving mask is obtained by Gaussianity test based on temporal motion information, followed by a further test by establishing MRF model on double-scale neighborhood to achieve smooth and complete binary moving mask.
提出一种视频对象平面自动提取算法,首先以时域帧间运动信息为依据,利用高斯检验方法得到初始的二值运动模板,并建立双尺度邻域的MRF模型进一步检验,以获取平滑、完整的运动模板;然后提出了结合非线性变换的改进分水岭算法对运动区域进行帧内空域分割;最后对时域和空域分割结果进行比重运算,提取最终运动对象·实验结果说明了该算法的有效性
2.
At first, a binary moving mask image is achieved by gaussianity test based on temporal motion information.
首先以时域运动信息为依据利用高斯检验方法得到二值运动掩模图像,并建立MRF随机场模型进一步检验,然后提出了一种结合非线性变换的改进分水岭算法进行帧内图像分区,以划定对象区域与背景区域的界线,最后对时域分割和帧内分区结果进行比重运算,得到最终运动对象。
4) non-gaussianity
非高斯性
1.
An improved predictive deconvolution based on maximization of non-Gaussianity;
一种改进的基于非高斯性最大化的预测反褶积算法(英文)
2.
On the basis of the number fluctuation model of n-type metal oxide semiconductor field effect transistor(nMOSFET),non-Gaussianity of noise in nMOSFET was studied by the quadratic sum of the bicoherence,which belongs to higher order statistics.
基于n型金属氧化物半导体场效应晶体管(nMOSFET)噪声的数涨落模型,采用高阶统计量双相干系数平方和研究了nMOSFET噪声的非高斯性。
5) non-Gaussian
非高斯性
1.
According to the characteristic of SVDD,the proposed algorithm utilizes the non-Gaussian to measure how kernel samples approximate to a spherical area,and then optimize the kernel parameter.
该算法根据支持向量域数据描述本身的特点,利用非高斯性来测量核空间样本接近球形区域分布的程度,并根据此测量结果来优化核参数。
6) Non-inferiority test
非劣性检验
补充资料：连续性与非连续性(见间断性与不间断性)
连续性与非连续性(见间断性与不间断性)
continuity and discontinuity
11an父ux泊g四f“山。麻以角g、.连续性与非连续性(c。nt，n琳t:nuity一)_见间断性与不间断性。and diseo红ti-
说明：补充资料仅用于学习参考，请勿用于其它任何用途。
参考词条