non-Gaussian distribution
英
美 [ˈnoʊn ˈgaʊsiən ˌdɪstrɪˈbjuːʃn]
非高斯分布
双语例句
- Wavelet threshold denoising via non-Gaussian distribution and context model
基于非高斯分布和上下文法模型的小波阈值去噪算法 - The non-Gaussian form of spatial distribution of source can lead to the decrease of the λ parameters.
π介子源空间分布的非高斯形是导致λ参数减少的一个重要因素。 - Based on a generalized PI controller, a tracking control approach is proposed to the control of non-Gaussian stochastic distribution systems with input delay.
针对一类具有输入时滞的非高斯随机分布系统，提出了基于广义PI控制器的跟踪控制方法。 - Based on the nonlinear mapping relationship between the complex non-Gaussian covariance sequence and Gaussian covariance sequence, the proposed scheme can realize specified distribution and covariance.
所提出的方案基于复数非高斯协方差序列与高斯协方差序列之间的非线性映射关系，能够实现指定的包络分布与协方差。 - On this basis, the Unscented Particle Filter ( UPF) is introduced to the navigation scheme to overcome the shortcomings of large initial estimation errors and non-Gaussian distribution of the state or measurement errors that may exist in the determination of the deep space orbit.
在此基础上，针对深空导航的轨道确定过程中可能存在的初始估计信息误差较大、状态及量测误差不服从高斯分布等问题，将UPF（unscentedparticlefilter）引入到导航方案中。 - Fault diagnosis and tolerant control for non-Gaussian stochastic distribution control systems based on the rational square-root approximation model
基于有理平方根逼近的非高斯随机分布系统的故障诊断和容错控制 - The algorithm can separates all independent components from blind source signals, which is non-Gaussian distribution. The algorithm is a new, highly efficient and reliable method in signal processing.
该算法能有效地分离出任意分布的非高斯盲源信号的各个独立成分，是信号处理的一种新的、高效可靠的方法。 - As the ideal mathematical model for non-Gaussian impulsive noise, a-stable distribution has been the focus of intensive research in signal processing fields.
α-稳定分布作为非高斯脉冲噪声的数学模型，已经成为信号处理领域的热点研究课题。 - 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。 - We have proposed a simple non-Gaussian bivariate probability distribution functions to model the statistics of wavelet coefficients of natural images. The model captures the dependence between a wavelet coefficient and its parents.
在图像去噪中目前经常使用的模型假设系数是独立分布的，但是这些简单的分布作为自然图像小波分解系数的模型是不够准确的，因为它们忽略了系数之间的相关性。 - Determination of The Minimum Sample Size for Non-Gaussian Distribution
非正态分布时最小子样容量的确定 - Comparison between the proposed MIL method and the traditional WLS method is carried out by several numerical tests, and the approximate condition of WLS state estimation method under non-Gaussian distribution is verified.
用算例比较了MIL和WLS状态估计的估计结果，进一步验证了WLS法在非正态分布时的近似条件。 - The Mathematical models for the Adjustment of Some Non-Gaussian Distribution Technological Installations
非正态分布工艺设备调整数学模型 - As a double stochastic model, HMM not only captures the serial correlations in the data, but also considers the non-Gaussian distribution of process data.
由于HMM具有双重随机特性，它不仅能够表征数据的动态特性，而且对数据非高斯性也有很强的描述能力。 - The non-Gaussian coloured noise is simplified to Gaussian coloured noise by the path integral method, then, the expression of the stationary probability distribution ( SPD) of the system is derived and the effects of noise parameters on the SPD are discussed.
对于非高斯色噪声采用了路径积分法将其近似处理为高斯色噪声形式，再推导得到系统的定态概率分布函数，分析了不同噪声参数对定态概率分布的影响。 - However, considering that actual data has nonlinear, non-Gaussian characteristics, and limited to fitting perform of the Gaussian distribution, GMM can not fully, accurately describe and characterize these complex data.
但是考虑到实际数据多具有非线性、非高斯特性，并限于高斯分布的拟合能力，高斯混合模型不能完全、准确地描述和刻画这些复杂数据。 - Based on the non-Gaussian distribution feature of natural image data, this paper improves the autonomous mental development-based cognition method, i.e. ICS-HDR is presented on the basis of traditional HDR.
针对自然图象数据的非高斯分布特性，对一种自主心智发育认知方法进行了改进，即在传统的发育方法（HDR）上，提出一种基于独立成分特征空间的分级判别回归树（ICS-HDR）。 - Secondly, through the hypothesis of ignoring the impact of noise and the compositors are statistically independent and obey non-Gaussian distribution, we introduced the model of independent component analysis, and defined the independent component analysis from two aspects of the probability density and relevance.
其次建立了忽略噪声影响、成分统计独立且服从非高斯分布的独立成分分析的模型，从概率密度和相关性两个方面给出了独立成分分析的定义。 - In many object tracking algorithms, Particle filter is a recent research focus of nonlinear filtering method and can deal with the nonlinear/ non-Gaussian filtering problem effectively on the state distribution.
在众多的目标跟踪算法中，粒子滤波作为一种新型的非线性滤波方法，以其处理非线性、非高斯动态系统问题的优良特性受到了广泛地关注。 - According to the BBR formula, explained the statistical property relationship between the input signal and output signal under the premise of the signal with non-Gaussian distribution, and proved the reason of needing higher order cumulant in blind equalization. 2.
根据BBR公式，说明了在信号满足非高斯分布前提下输入信号与输出信号之间统计特性的联系，并论证了盲均衡中需要借助高阶累积量这一工具的原因。 - However, there are many phenomena in communications that contribute in producing noise that has a non-Gaussian distribution, that is to say, non-Gaussian noise is prevalent in wireless environments and often impulsive in many applications.
而通信中很多现象产生的噪声满足非高斯分布，即非高斯噪声总是存在的，并且在许多通信应用中呈现为脉冲干扰。 - The furnace temperature distribution is mainly researched. When there is non-Gaussian disturb in system, the furnace temperature distribution can be expressed by the PDF of non-Gaussian, and the given signal is tracked by the output signal.
主要研究了加热炉炉膛温度分布，当系统中存在非高斯干扰信号时，由于炉膛温度输出分布可以用一种非高斯分布的PDF表示，应用本控制算法，使得输出跟踪给定。 - And LDA supposes that every class meet the gaussian distribution, So it may not perform well in non-gaussian distribution samples.
而且，LDA假设各类样本是满足高斯分布的，对于实际情况中的非高斯分布的数据，LDA分类效果不一定好。 - Although the above two methods own pretty good filtering performance when system noise and observation noise are non-Gaussian, their filtering performance will descend or even diverge when non-Gaussian distribution occurs.
上述两种方法在当系统噪声和观测噪声满足高斯分布特性的时候具有较好滤波性能，而对于非高斯分布噪声上述滤波方法的指标下降，甚至出现发散。 - Different from Gaussian distribution, non-Gaussian α stable distribution does not have a second order moment, the classic signal processing methods such as least sequares algorithm do not work at all.
由于非高斯α稳定分布没有有限的二阶矩，基于传统的高斯分布假设下的最小二乘等方法不再适用。 - Three forms that frequently appear in economic variables are considered with regard to non-Gaussian distribution in this paper and specific solutions are provided for the three refined models and extended Kalman filter and smoothing is deduced accordingly.
其中对于非高斯分布考虑了经济变量中常出现的三种情形，对三类具体化的模型给出了具体的解决办法，并导出扩展的Kalman滤波和平滑公式。