广义高斯分布(GGD)在信号处理和图像处理等领域都有广泛的应用。本文从广义高斯概率密度函数及其统计性质出发,首先推导出广义高斯分布参数比函数,然后通过曲线拟合的方式,给出了一种GGD的形状参数和尺度参数的估计方法,最后利用模拟实验对之加以验证。
Generalized Gaussian distribution is a class of symmetry distribution with the Gaussian and Laplacian distribution as the special cases, with delta distribution and uniformity distribution as limit. It is widely applied in lots of fields. In this paper, we first deduce the Generalized Gaussian parameter ratio function, and then bring up a fast parameter estimation of Generalized Gaussian distribution. Finally we make use of simulations to verify the method.