1) non-Gaussian distribution
非高斯分布
1.
The results of experiments and simulations showed that when the data tested has significant differences in features,and the reverberation has a non-Gaussian distribution,the new algorithm\'s performance is better than matching filters and support vector machines based on traditional kernel functions.
将特征核支持向量机应用于高斯或非高斯分布混响背景中的信号检测,结合实际应用给出了训练和检测算法。
2) non-Gaussian and random
非高斯随机分布
3) non-Gaussian amplitude distribution
非高斯幅值分布
4) non-Gaussian bivariate distribution
非高斯二元分布
1.
A new spatial adaptive wavelet threshold denoising method was presented, which was based on a non-Gaussian bivariate distribution and context model for image denoising inspired by image coding.
提出了一种新的空间自适应小波阈值去噪算法,该算法是基于非高斯二元分布的贝叶斯统计模型和上下文法模型。
5) gauss distribution
高斯分布
1.
That is supposed that the intensity of cross section of the beam ejacted by accelerator is Gauss distribution,a fine measurement is operated to determine the peak of the Gauss distribution,and it is verified by experiment.
在假设加速器射出的束流横截面,其强度呈高斯分布的条件下,讨论分析了一种精细测量系统束流横截面强度分布的方法,并用实验对这种方法的正确性做了验证。
2.
If we change the parameters of binomial distribution, the random pulse subjected to the Poisson distribution and the Gauss distribution will be generated.
利用EPLD器件模拟了n维贝努里试验,通过改变其参数,得到符合二项分布、泊松分布以及高斯分布的随机脉冲。
3.
It was based on the Gauss distribution and conformal transformation method presented by Amari and Wu.
针对支持向量机(Support Vector Machine,SVM)研究中的核选择问题,在Amari和Wu提出的保形变换方法的基础上,提出了一种基于高斯分布的SVM核参数选择方法。
6) Gaussian distribution
高斯分布
1.
Research of immune particle swarm optimization algorithm based on Gaussian distribution and simulated annealing algorithm;
基于高斯分布和模拟退火算法的免疫微粒群优化算法研究
2.
Precise simulation of star spots and centroid calculation based on Gaussian distribution
基于高斯分布的星像点精确模拟及质心计算
3.
On the assumption that the fluorescence excitation and emission spectra can be represented by Gaussian distributions versus wavelength.
基于荧光激发光谱和发射光谱对波长呈高斯分布的设定,本文推导出固定波长同步荧光光谱峰峰值位置、相对强度和半峰宽度等3个主要光谱参数的理论计算式。
补充资料：非想非非想处天
1.佛教语。即三界中无色界第四天。此天没有欲望与物质﹐仅有微妙的思想。
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