best fitting polynomial

基本解釋

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.
通過實(shí)驗(yàn)驗(yàn)證了該算法的有效性，并以峰值信噪比（PSNR）為評價準(zhǔn)則，利用多項式擬合方法選擇了最優(yōu)參數(shù)。
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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.
本文提出了一種用加權(quán)多項式回歸對球狀模型和二級套合球狀模型的變差函數(shù)進(jìn)行最優(yōu)擬合的方法。