| 1. | The gaussian distribution is the familiar bell-shaped curve .
高斯分布是常见的钟罩形曲线。 |
| 2. | Two kinds of laser source are discussed at the same time
讨论了环形分布和高斯分布2种类型的激光源。 |
| 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. | 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。 |
| 5. | An improved background subtraction using adaptive gaussian mixture models
一种改进的基于混合高斯分布模型的自适应背景消除算法 |
| 6. | Propagation of flat and gaussian light beam in biological tissue is simulated with monte - carlo method
摘要用蒙特卡罗方法模拟了均匀分布光和高斯分布光在生物组织内的传播。 |
| 7. | Adopting an anti - gaussian liquid absorption filter lens , the uniformi t y of radial intensity of laser source is realized
应用反高斯分布的液体吸收滤光镜，实现了高斯光束强度的径向均匀化。 |
| 8. | 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。 |
| 9. | This method based on differenced frame process and utilizes double constraints of relative gaussian noise and block energy to detect the change region
该方法通过基于块的帧差处理,利用相对噪声服从高斯分布的特性和能量的属性的双重约束来检测运动变化区域。 |
| 10. | 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。 |
