该算法是在最小二乘意义上的多项式曲线拟合，实验结果表明，其校正效果明显优于分段线性校正算法。
The algorithm is polynomial curve fitting based on least square approximation. The experimental result shows its performance is more effect than that of the piecewise linear algorithm.
结果显示不等式限制条件下的最小二乘平差的传统解实际上是基于后验分布模式下的贝叶斯解，而且从方差最小的意义上来讲它不是最优解。
The results show that traditional solution of LSI is actually a Bayes solution based on the mode of the posterior distribution and that it is not the best solution in the sense of variance minimizing.
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