论文得到了球形检验的似然比准则，它的渐近展开与极限分布。
The likelihood ratio criterion of sphericity test, its asymptotic expansion and limiting distribution are obtained.
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.
利用广义似然比检验（GLRT）解码算法，导出了成对符号错误概率（PEP）上限和码的设计准则。
The chernoff upper bound of the pairwise error probability(PEP) and the code design criteria are derived by means of the generalized likelihood-ratio test(GLRT) decoding algorithm.
应用推荐