polynomial fitting method meaning in Chinese
多项式拟合方法
Examples
- Secondly , spfm ( sliding polynomial fitting method ) was discussed and the arithmetic has been compared with pfm ( polynomial fitting method ) . meanwhile , the model was corrected , and the parameters of arithmetic - - system sampling frequency , the length of sliding window and the exponent of fitting polynomial - - have been optimized
并在此基础上讨论了滑动窗多项式拟合预测算法（ spfm ） ，对该算法与普通的多项式外推预测进行了比较，对模型进行了适应性修正，并对算法的参数：系统采样频率、滑动窗大小、拟合多项式指数进行了优化。 - Firstly the phase is extracted from interferogram by filtering and displacing frequency spectrum . then the wavefront and the line integral density are recovered by using fft or polynomial fitting method . lastly the radial local density distribution is calculated from the fitting curve of line integral density by the abel inversion
首先对干涉图进行频谱滤波，用频谱移频法从干涉图中提取相位，然后用快速傅立叶变换或多项式拟合实现波面重建，计算线积分密度，再利用abel积分变换从线积分密度的拟合曲线中反演径向体密度分布。 - Gram - schmidt method for zernike polynomials fit and singular value decomposition ( svd ) are concerned . the direction question for zernike polynomials fit is discussed and the surface error in the normal direction is deduced . to solve - the coupling and mixture of zernike polynomials fit method , rigid - body displacement is removed with coordinate transformation and then fitted with zernike polynomials
介绍了zernike拟合的gram - schmidt以及奇异值分解两种方法；论述了zernike拟合时的方向问题，计算了法线方向的面形误差；针对zernike拟合时的藕合与混淆，采用先用齐次坐标变换去除刚体位移，再用奇异值分解进行zernike拟合。