As is well known, the maximum likelihood detection (MLD) yields the optimal detection performance.
众所周知，最大似然检测是最优的检测算法。
The problem of maximum likelihood detection is also studied, and no correlation is only a special case of correlation.
并研究了衰落相关条件下的最大似然检测问题，无衰落相关只是有衰落相关的一种特殊情况。
However, the maximum likelihood detection algorithm can achieve the optimum detection performance while the complexity is extremely high.
而性能最好的最大似然检测算法的复杂度非常高。
The Maximum Likelihood Detector is used in the receiver for joint detection using all received signals.
接收端使用最大似然检测器，利用所有接收信号进行多用户联合检测。
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。
The traditional signal detection theory and method using likelihood ratio test has been used widely, but it has obvious drawbacks.
传统信号检测理论和方法主要采用似然比检测，已得到广泛的应用，但是存在明显的缺点。
Based on the characteristics of the detection likelihood ratio sequence and the recursive relations, a fast algorithm is proposed.
文中根据检测似然比序列的特点，利用递推关系，提出了一种快速算法。
Maximum likelihood sequence detection (MLSE) is broadly use in the digital communication system to estimate the transferred data through the ISI channel with noise.
最大似然序列检测技术被广泛应用于数字通信系统中来估计通过有噪声的符号间干扰（ISI）信道传输的数字数据序列。
Focusing on the problem that the detection complexity was high in vertical-Bell LABS layered space-time system, a novel simplified maximum likelihood algorithm was proposed.
针对贝尔实验室垂直分层空时系统最大似然检测复杂度过高的问题，提出一种简化最大似然算法。
This paper introduces cross-correlation detection theory and maximum likelihood theory and based on the two theories, puts forward a new method for weak signal detection.
简单介绍互相关检测的原理及最大似然理论，并在此基础上，提出了将互相关检测与最大似然理论相结合检测弱信号的新方法。
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。
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。
A near maximum-likelihood (ML) multiuser detection algorithm based on unconstrained optimization approach is proposed for code-division multiple access (CDMA) systems.
针对码分多址(CDMA)系统提出了一种基于无约束最优化的近最大似然多用户检测算法。
The multi-user detection algorithm based on the EM method is used to look for the maximum-likelihood estimation of users' data iteratively in a DS-CDMA system.
基于EM方法的多用户检测算法采用EM迭代方法来求解DS-CDMA系统中各用户发送数据的最大似然估计解。
Some of optimal bandwidths used depends on detection function, some do not rely on detection function, still use classic ground Maximum Likelihood estimate.
使用的最佳带幅宽有的依赖于探知函数，有的不依赖探知函数，还用到经典的最大似然估计法。
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。
Towards the distributed multiple sensor detection information fusion, detection performance under N P criterion is studied, while the algorithm for local detection is based on likelihood criterion.
针对多传感器分布式检测信息融合系统，研究了在NP检验准则下的融合算法。
According to the mechanism of speech signal, an effective pitch detection algorithm by combined liner predictive coding with maximum likelihood is proposed.
根据语音信号产生机理，结合常用的线性预测和最大似然法，提出了一种有效的基音检测算法。
Based on the likelihood ratio test theory, a new detection statistic is proposed in this paper for monitoring the machine tool cutting chatter development.
根据似然比检验原理提出了一种新的机床切削颤振监测统计量，能识别切削过程中产生的信噪比为0.15的微弱振动成份。
Based on the likelihood ratio test theory, a new detection statistic is proposed in this paper for monitoring the machine tool cutting chatter development.
根据似然比检验原理提出了一种新的机床切削颤振监测统计量，能识别切削过程中产生的信噪比为0.15的微弱振动成份。
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