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HOW TO PAN-SHARPEN IMAGES USING THE GRAM-SCHMIDT PAN-SHARPEN METHOD – A RECIPE
High Resolution Imagery Gram-Schmidt Pan-Sharpening
2014/4/24
Since its publication in 1998 (Laben and Brower, 2000), the Gram-Schmidt pan-sharpen method has become one of the most popular algorithms to pan-sharpen multispectral (MS) imagery. It outperforms most...
基于Gram-Schmidt过程的判别变量筛选方法
Gram-Schmidt正交变换 判别分析 变量筛选 多重相关性
2011/10/25
利用Gram-Schmidt过程,在自变量集合中选择对判别分类解释性最强的信息,删除对分类无显著解释作用的信息以及重复解释的信息,并把挑选出来的解释变量集合变换成若干直交变量.一方面实现了判别分析模型中的变量筛选,同时也解决了自变量多重共线条件下的有效建模问题.在选入变量的过程中运用F统计量检验变量的判别作用,更容易被统计应用人员所接受.为了说明所提算法的合理性和有效性,以Fisher判别分析建模...
A Novel Optical Direct-Detection I/Q Up-Conversion with I/Q Imbalance Compensation via Gram-Schmidt Orthogonalization Procedure
Novel Optical I/Q Imbalance Compensation Gram-Schmidt Orthogonalization Procedure
2015/7/20
We proposed RF detect-detection vector signal generation using optical I/Q up-conversion. The Gram–Schmidt orthogonalization procedure is employed to compensate I/Q imbalance. After transmission over ...
有理函数逼近法方程组病态条件数为构建电源分配网络时域宏模型带来了数值问题。该文提出利用修正Gram-Schmidt正交化处理对超定方程组系数矩阵进行正交三角分解，结合Bernoulli多项式求根方法及稳定、无源性准则可以精确构建无源时域宏模型。计算实例精确构建了自DC至1GHz频带内的宽带无源时域宏模型，从而验证了该方法的有效性。