kernel density function
常见例句
- Using this method, kernel function could be flexibly chosen to estimate sample point's density values according to different locating application scenes.
推广后的定位方法,可根据具体的目标定位场合,灵活选择核函数对样本点进行核密度估计。 - 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。 返回 kernel density function