用最小二乘法求出了刀具拟合直线，并对拟合直线进行了修正，保证了修正后的创成表面与原拟合直线创成表面相吻合。
The cutter curve is fitted with the least square method and corrected to assure the corrected generation surface is identical with that of original fitted curve.
采用了一种可以避免求逆运算的修正BM迭代算法，并且利用这样的迭代算法和基于弱对偶基的比特并行乘法器构成了广泛应用的RS码的译码器。
By selecting the bit parallel multiplier based on WDB and the modified BM iterative algorithm that can avoid inversion, the widely used rs decoder is constructed.
研究了渐消记忆递归最小二乘法在背景建立中的应用，修正增益因子，引入更多的背景信息，对复杂背景进行更加完善的预测建立。
Applying the recursive least square method to background rebuild, revising the gain factor and bringing in much information forecast more perfect complex background.
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