1) Gauss Method of Reduction
高斯约化
1.
Traditional Gauss Method of Reduction suffers two flaws in evaluating the transformation parameters between GPS coordinate system and state coordinate system:lower precision caused by the accumulated error in the deduction from observation equations to normal equations and instability in the case of ill-conditioned normal equations carrying at times.
解算GPS坐标系和国家坐标系间的转换参数,传统方法是最小二乘法和高斯约化相结合,通过解算由误差方程组推导出的法方程组,间接求出结果。
2) Gaussian transformation
高斯化
1.
When testing the 100GHz angle-tuned filter with low polarization dependent loss,the insertion loss and Gaussian transformation of the transmission optical spectra will become more and more serious as the incident angle is increasing,which is because the transmission optical path and the transmission model field of the thin film filter will change.
倾斜入射时滤光片的透射光会出现光路偏移以及光斑模场的形变,所以在测试制备的100GHz低偏振相关损耗的角度调谐滤光片时其透射光谱的插入损耗和波形的高斯化现象会随着入射角度的加大而迅速增加。
3) Gaussianization
高斯化
1.
Gaussianization for Background Interference in Active Signal Detection;
主动信号检测中干扰背景的高斯化处理
2.
Moreover,the applications of independent component analysis and Gaussianization to the proposed algorithm alleviate the curse of dimensionality to some extent.
实验结果表明:与传统KDE算法相比,在保持相当计算精度(多数情况下降低了模型误差)的情况下,文中算法的时空效率大幅度提高,而且在小样本训练集条件下得到的密度估计更光滑;独立成分分析及高斯化变换的应用使文中算法在一定程度上缓解了维数灾难。
4) Gauss Jordan elimination
高斯约当消元法
5) Gauss-Jordan elimination
高斯-约旦消去法
6) Gauss-Jordan elimination method
高斯-约当消去法
补充资料：公理化方法(见公理化和形式化)
公理化方法(见公理化和形式化)
axiomatical method
gongllbuafangfa公理化方法化和形式化。(axiomatieal method)见公理
说明：补充资料仅用于学习参考，请勿用于其它任何用途。
参考词条