非高斯分布的英文

• non-gaussian distribution

• "非"英文翻译    mistake; wrong; errors
• "分布"英文翻译    distribute; spread; scatter; ...
• "复高斯分布" 英文翻译 :    complex gaussian distribution
• "高斯分布" 英文翻译 :    gass distribution; gau ian distribution; gauss distribution; gauss-verteilung gaussian distribution; normal distribution; gaussdistribution; gaussian profile; gaussiandistribution
• "逆高斯分布" 英文翻译 :    inverse gaussian distribution
• "二元高斯分布" 英文翻译 :    bivariate gaussian distribution
• "高斯分布定律" 英文翻译 :    gaussian distribution law
• "高斯分布公式" 英文翻译 :    gaussian distribution formula
• "高斯分布函数" 英文翻译 :    gaussian distribution function
• "截尾高斯分布" 英文翻译 :    clipped gaussian distribution
• "污染高斯分布" 英文翻译 :    contaminated gausssian
• "高斯分布(曲线), 正态分布" 英文翻译 :    gaussian distribution
• "正态分布（高斯分布）" 英文翻译 :    normal distribution
• "广义逆高斯分布" 英文翻译 :    generalized inverse gaussian distribution
• "正态高斯分布函数" 英文翻译 :    normal gaussian distribution function
• "非高斯方式,非常态分布方式" 英文翻译 :    nongaussian manner
• "非高斯链" 英文翻译 :    non-gaussian chain
• "高斯分配" 英文翻译 :    gaussian distribution
• "高斯分频符" 英文翻译 :    gaussian classifier
• "吉布斯分布" 英文翻译 :    gi 'sdistribution; gibbs distribution; gibbs's distribution
• "托马斯分布" 英文翻译 :    thomas's distribution
• "非高斯线性过程" 英文翻译 :    non-gaussian linear process
• "冯米泽斯分布" 英文翻译 :    von mises distribution
• "拉普拉斯分布" 英文翻译 :    laplace-verteilung laplace distribution
• "高斯-泊松分布" 英文翻译 :    gauss-poisson distribution

• The particle filter can resolve a problem on nonlinear and non - gaussian model , and has been applied successfully in many fields
  它可以处理模型方程为非线性、噪声分布为非高斯分布的问题,在许多领域得到了成功的应用。
• On the assumption that imagery pixel follows non - normal distribution in high resolution imaging , a new method of phase errors estimation based on higher - order statistics is proposed for sar imagery autofocusing
  在高分辨成像情况下，基于图像像素强度服从非高斯分布的假设，提出了一种基于三阶累积量的自聚焦方法。
• 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的滤波性能,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。
• Based on unsupervised learning , sparse coding is suitable to describe images with non - gaussian distribution and can get rid of the high order redundancy among the image pixels . since the basis function of sparse coding has build - in clustering property , it increases the inter - class variations of the features
  稀疏编码是一种基于非监督学习的算法，它适合描述具有非高斯分布的数据对象，能够有效地消除图像象素点之间的冗余，并具有内在的聚类特性。
• The different galactic gravitational potential have not clear influence upon the perigalactic distance , eccentricity and uncertainty of orbital parameters , but which is significant for other parameters , such as the apogalactic distance , semi - major axis , radial period and azimuth period and so on ; ( 5 ) the monte carlo simulation show that : the distribution morphologies of the orbital parameters which are produced by simulation data are separated into three types : gaussian profile , semi - gaussian profile and non - gaussian profile
  不同的引力势模型对近银心距、偏心率和参数的不确定度等量影响较小，但是对远银心距、轨道半长轴、径向周期和方位周期等参数影响较为明显。 ( 5 ) montecarlo模拟的结果表明：根据模拟观测数据得到的轨道参数的分布形态大致可分为三类：高斯分布、准高斯分布和非高斯分布；观测数据对轨道参数的影响与样本的选取、轨道参数的类型等有关。
• While the rate - based dropping on burst level large time scales determines the packet drop aggressiveness and is responsible for low and stable queuing delay , good robustness and responsiveness , the queue - based modulation of the packet drop probability on packet level small time scales will bring low loss and high throughput
  突发行为具有自相似或尺度不变性scale - invariant ，即流量在不同的时间尺度上具有相似的突发特性2局部缩放性。流量过程的局部奇异性使流量在小时间尺度数百ms及以下的突发非常强烈，具有非高斯分布。