由于集成广义模糊函数是多项式相位信号分析的理想工具，本文将其用于非刚性多目标分辨中，通过对雷达实测数据的分析，表明这是非常有效的。
The IGAF is used to resolve nonrigid multitarget for it is an ideal tool to analyze polynomial phase signals, and it is proved to be effective by analyzing the radar data.
利用基于正交多项式的分布拟合方法对实际问题进行了损失分布拟合，取得了较为理想的结果，为损失分布的拟合提供了一种新的方法。
It is used the fitting methods based on orthogonal polynomial to study a practical problem, and achieved better results, that provide a new method for the loss of distribution fitting.
结论多项式拟合曲线是较为理想的线性评价方法，既保证了实验结果的准确性、可靠性，而且更适用于临床。
Conclusion the polynomial fitting curve is the perfect linear evaluation method. It guarantees both the accuracy and reliability of the experimental results, and is more suitable to clinic.
结果显示理想溶液模型的误差较大，多项式经验方程的误差最小。
Correlation results showed that the polynomial empirical equation is the best to fit in the experimental results.
最后针对临近空间大倾角失真遥感图像提出了一种分段多项式几何校正方法，取得了理想的校正精度。
Finally, for geometric correction of near space oblique remote sensing images, a piecewise polynomial geometric correction method is studied, and achieved the desired accuracy of calibration.
最后针对临近空间大倾角失真遥感图像提出了一种分段多项式几何校正方法，取得了理想的校正精度。
Finally, for geometric correction of near space oblique remote sensing images, a piecewise polynomial geometric correction method is studied, and achieved the desired accuracy of calibration.
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