gaussian probability-density function
基本解释
- [物理学]高斯概率密度函数
英汉例句
- By the general assumption that the probability density function of the kernel function can be isolated from separate sub-Gaussian signal or super-signals.
盲源分离算法通常需预先假设源信号的概率密度函数，并由此获得关键的核函数，进而从混合信号中分离出源信号。 - The background samples are chosen by thresholding inter-frame differences, and the Gaussian kernel density estimation is used to estimate the probability density function of background intensity.
通过相隔固定的帧差值阅值化得到背景样本值，并采用高斯核密度估计方法计算背景灰度的概率密度函数。
双语例句
专业释义
- 高斯概率密度函数