In this paper, We present an edge detection algorithm using generalized likelihood ratio.
本文提出了一种利用广义似然比检测图象边缘的算法。
On the basis of studying the algorithms of network traffic abnormality detection, an improved Generalized Likelihood Ratio (IGLR) algorithm is proposed.
在研究分析了几种网络流量异常检测算法的基础上，提出了一种改进的广义似然估计（IGLR）的检测算法。
Then based on the temporal difference models, we formulate the detection problem in 2 steps, correlation detection and generalized likelihood ratio test (GLRT).
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。
The family of generalized empirical likelihood ratio statistics with moment restrictions, which is a generalization of Baggerly, is investigated.
讨论矩约束条件下的广义经验似然比统计量族以及相应的性质。
Generalized maximum likelihood ratio detection algorithm (GLR) is a typical method of space-time adaptive signal processing.
狭义最大似然比检测算法(GLR)非空时自逆当信号处放的比拟典型的算法。
The theory of weighted empirical processes is an important element for (generalized) nonparametric likelihood ratio goodness of fit test.
在讨论(广义)非参数似然比拟合优度检验时，加权经验过程理论是一个非常重要的基础。
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.
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.
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。
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