中文说明：对大量统计数据进行归一化处理，并对其概率密度函数进行了拉普拉斯拟合，利用了最小二乘法，获得最优拟合参数，可通过实现各种参数的拟合。同时对角度扩展进行了对数正态分布拟合。代码简单易懂，运行需要加载自己的测量数据。
English Description：
On statistical data normalization, Laplace and the probability density function fitting by least squares to obtain optimal fitting parameters, you can achieve a variety of parameter fitting. While the lognormal fitting on angular spread. Code is simple, run need to load your own measurement data.