To solve the problem of ellipse - object - shape parameters detection in noise image, a new detection algorithm using nonlinear data fitting model and cross-reference iterative method is proposed.
为提高噪声环境下椭圆类物体形状检测算法的稳定性与准确性，本文提出非线性数据拟合模型结合交叉参考迭代的新思路。
According to the frequency modulation function mode, this paper proposes to design the nonlinear frequency modulation (NLFM) signal using the data fitting method.
根据调频函数模型，提出利用数据拟合的方法设计非线性调频信号。
The mathematic model was adopted for nonlinear least-squares data fitting to process experimental data, and a high correlation coefficient excelling 0.99 was obtained.
利用这个数学模型对实验数据进行非线性拟合，拟合的相关系数高于0.99。
We introduced the way of nonlinear curve fitting to analyzing the experiment data by the Origin software.
通过对试验数据的非线性拟合，提出了表征两种沥青发泡性能的衰退方程，其参数有明确的物理意义。
We introduced the way of nonlinear curve fitting to analyzing the experiment data by the Origin software.
通过对试验数据的非线性拟合，提出了表征两种沥青发泡性能的衰退方程，其参数有明确的物理意义。
应用推荐