The paper suggests an approach, utilizing the weighted polynomial regression for the best fitting of the variogram about spherical model or two-order nested spherical model.
本文提出了一种用加权多项式回归对球状模型和二级套合球状模型的变差函数进行最优拟合的方法。
Experiments proved the validity of the model. Taking Peak Signal-to-Noise Ratio (PSNR) as criterion the best preference was found by using polynomial fitting.
通过实验验证了该算法的有效性，并以峰值信噪比(PSNR)为评价准则，利用多项式拟合方法选择了最优参数。
应用推荐