| 1. | The gaussian distribution is the familiar bell-shaped curve .
高斯分布是常见的钟罩形曲线。 |
| 2. | However , price changes actually do not follow gaussian distributions
但是价格变得并不服从正态分布。 |
| 3. | 9 . on the consideration of jitter with gaussian distribution and multi - ga
针对相位抖动的高斯分布和多高斯分布 |
| 4. | Gaussian distribution profile
高斯掺杂分布 |
| 5. | The normal distribution tutorial : a tutorial on the normal or gaussian distribution
常态分布讲解:常态或高斯分布的讲解。 |
| 6. | In this paper , a new spectral subtraction method is presented , which breaks the assumption that the noise is gaussian distribution with mean 0 in the original spectral subtraction method
本文针对谱减法中关于噪声是零均值的高斯分布的假设,提出了一种可以打破这一假设的改进谱减算法。 |
| 7. | Ill 2 , xi ' an university of technology 2 . at the same holding temperature , when the holding time increased , the equal - area - circle diameter trended to uniform , and the distribution of the roundness approached to gaussian distribution
2 、相同等温温度条件下，改变等温时间，等积圆直径的分布随时间的延长趋向均匀，晶粒球化度接近于正态分布。 |
| 8. | Applications : as data is modelled as finite mixture of t - distributions , t - ppca is robust in application . comparing with the use of gaussian distribution , our approach does give better results , as is shown by the experiments in chapter 5
应用方面：我们用多元t分布的有限混合作为数据模型，保证了t - ppca的稳健性，从而比gaussian - ppca更具实用价值。 |
| 9. | We apply generalized gaussian distributions to statistically model the dct coefficients of different natural images . as a result of our work , fast estimating expression for channel model parameters are derived
我们用广义高斯分布去作为自然界图像经过dct变换后的分布模型，作为我们工作的结果，信道模型参数的快速估算表达式被推导并和实验结果进行了比较。 |
| 10. | 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。 |
