2) maximum likelihood
最大似然
1.
Four-group Maximum Likelihood Decodable Distributed Space Time Codes for Cooperative Communication;
合作通信中四次群最大似然可译分布空时编码
2.
Pitch detection algorithm based on LPC and maximum likelihood;
基于线性预测和最大似然的基音检测算法
3.
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。
4) likelihood function
似然函数
1.
The likelihood function is given for family data.
利用子代信息减少亲代单体型的不确定性,构建家系数据的似然函数,把家系中的个体潜在的单体型看成缺失数据,采用EM迭代算法,给出了家系数据单体型频率的极大似然估计。
2.
Put forward the reason of introduce the state space model of the ARIMA process, through the express of its state space model and Kalman filter relation for forecast, discuss the likelihood function and fresh interest means which based on state space model, probe into exact forecast means of the state space model of the ARIMA process.
通过ARIMA过程的状态空间表示和用于预报的Kalman滤波关系式,讨论了在状态空间模型时的似然函数和新息方法求解,探讨了ARIMA过程的状态空间模型的精确预报方法。
3.
Formalae are established describing how the round-off and observational errors influence the reduced likelihood function.
似然函数的Ali算法和新息算法用矩阵表示并给出误差分析。
5) Likelihood ratio
似然比
1.
Multi-dimensional correlation test based on the probability integral translation and likelihood ratio
基于概率积分变换与似然比的高维相关性检验
2.
Discrete calculation of signal to noise ratio and likelihood ratio are discussed in detail,and one practical algorithm for the digital implementation of RPPT Detector is presented.
文章提出了高分辨率雷达目标随机参量脉冲串检测器的数字实现方法;详细讨论了离散条件下信噪比与似然比的计算,给出了RPPT检测器数字实现的一种实用算法。
3.
By making use of the notion of likelihood ratio and the approach of Laplace trans- form,a class of strong limit theorems represented by inequalities which call the strong deviation theorems are obtained.
研究了相依连续型非负随机变量序列的极限性质,利用似然比的概念和Laplace变换方法得到了一类强偏差定理,即用不等式表示的一类强极限定理。
6) Synchronization likelihood(SL)
似然同步
1.
In order to investigate this process,we have studied synchronization between different regions of the brain from intracranial EEG recordings of Pilocarpine-induced epileptic rat by Synchronization likelihood(SL).
我们对匹罗卡品诱发的痫样放电大鼠皮层和海马脑电信号采用似然同步方法进行了分析,结果发现:从无痫样放电向连续性痫样放电转换时,左皮层—左海马(LC-LH)、右皮层—右海马(RC-RH)、左皮层—右皮层(LC-RC)、左海马—右海马(LH-RH)间的同步性显著增强(P<0。
补充资料:极大似然估计
极大似然估计法是求估计的另一种方法。它最早由高斯提出。后来为费歇在1912年的文章中重新提出,并且证明了这个方法的一些性质。极大似然估计这一名称也是费歇给的。这是一种上前仍然得到广泛应用的方法。它是建立在极大似然原理的基础上的一个统计方法,极大似然原理的直观想法是:一个随机试验如有若干个可能的结果A,B,C,%26#8230;。若在一次试验中,结果A出现,则一般认为试验条件对A出现有利,也即A出现的概率很大。
说明:补充资料仅用于学习参考,请勿用于其它任何用途。
参考词条