分组判决算法利用检测窗内所有数据帧，在广义似然比准则下对相关模板进行联合估计，进一步压制了模板噪声。

The group decision algorithm based on GLRT principle was utilized to estimate correlation template through all data frames in detection window and could offer better noise suppression.

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似然比检验、秩相关分析、主成分分析等方法相继用于研究函数的最适模型和指标体系。

Likelihood ratio test, rank correlation analysis and principal component analysis were used to investigate the optimal model of function and the index system.

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然后基于时域差分模型提出了红外慢速小目标时域检测算法，算法共分为两步：相关检测和广义似然比检测。

Then based on the temporal difference models, we formulate the detection problem in 2 steps, correlation detection and generalized likelihood ratio test (GLRT).

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