在此类情况下，可以将列中的数据离散化，以便可以使用算法来生成挖掘模型。
选取用于离散化的断点一般分为两步，即候选断点的选择和结果断点的确定。
因此，我们使用CORDIC演算法配合最佳化设计使系数离散化，如此就不需要乘法器。
本文在沃尔什变换的基础上，提出一种连续数据离散化方法。
1·The additional source term method is utilized to discretize both energy and momentum boundary conditions and the discretized governing equations in body-fitted coordinates are established.
建立了适体坐标系下的离散化控制方程组，采用附加源项法对控制方程组的能量和动量边界条件进行了离散。
2·Orthogonal collocation method was used to discretize the two dimensional pseudo-homogeneous model used and the temperature and concentration profiles were calculated.
建立了此反应器的二维拟均相模型，用正交配置方法离散后求解了床层的径向与轴向温度及浓度分布。
3·This paper introduces a novel method to discretize cross-sectional time series.
该文介绍了一个新颖的针对跨地区时间序列的离散化方法。
4·Based on the differential equations of vehicle dynamics, this paper presents a method to discretize state variables of the vehicle and to build time discrete model of vehicle dynamics.
通过数值离散方法建立了车辆动力学的时间离散模型，为对车辆工况进行实时监测和控制奠定了基础。
1·Cloud transform is a method to discretize continuous data based on cloud model.
云变换是一种基于云模型的连续数据离散化方法。