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1)  non-Gaussian amplitude distribution
非高斯幅值分布
2)  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。
3)  amplitude distribution
幅值分布
1.
To solve the fatigue life prediction problem of structures under bi-modal stress power spectral density in the frequency domain,this article presents a model of rainflow amplitude distribution of bi-modal stress power spectral density and provides a method to estimate its parameters.
为了在频域内解决双峰应力谱密度下的结构疲劳寿命估算问题,提出了双峰应力谱的雨流幅值分布模型,并给出了参数估算方法。
4)  non-Gaussian and random
非高斯随机分布
5)  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。
6)  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。
补充资料:幅值裕度
分子式:
CAS号:

性质:相角交界频率ωL(即开环频率特性相角ψ(ωL)=-180°时的频率)上。开环频率特性幅值。

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