log likelihood造句

• Log likelihood ratio decoding of ldpc coded modulation in ofdm system
  编码调制的对数似然比译码
• Log likelihood function
  对数概似函数
• In chapter l , we introduce the relative background on this paper and give some simple expressions of the work which have been studied . in chapter 2 , in virtue of the notion of likelihood ratio the limit properties of the sequences of dependent nonnegative continuous random variables are studied , and a class of strong limit theorems represented by inequalities are obtained . the bounds given by these theorems depend on positive constant c . in chapter 3 , by means of the notion of log likelihood ratio , a kind random strong deviation theorem are obtained , and the bounds given by these theorems depend on r ( )
  第一章，介绍本论文的选题背景，对已有的工作进行扼要的介绍；第二章，利用似然比的概念研究相依连续型非负随机变量序列的极限性质，得到一类强偏差定理，其偏差界依赖于正常数c ；第三章，利用对数似然比的概念得到一类随机偏差定理，其偏差界依赖于r ( ) ，证明中引进了尾概率和尾概率的laplace变换的概念；第四章，利用对数似然比的概念，得到了一类关于任意连续型随机变量序列的泛函的强偏差定理。
• In this paper , by means of the notion of likelihood ratio and log likelihood ratio the limit properties of the sequences of dependent continuous random variables are studied , and a class of strong limit theorems represented by inequalities are obtained . in the proof an approach of applying the tool of laplace transform to the study of strong limit theorem is proposed
  本论文继续这方面的工作，利用似然比、对数似然比的概念研究相依连续型随机变量序列的极限性质，得到相应的用不等式表示的强偏差定理。证明中提出了将laplace变换的工具应用于强极限定理研究的一种方法。
• In chapter 4 , the purpose of this chapter is to establish a kind of strong deviation theorems of functional for the sequences of arbitrary continuous random variables , by using the conception of log likelihood ratio , and extend the strong deviation theorems on the differential entropy for dependent arbitrary continuous information sources on the the probability space ( , . f , p )
  使得对于在概率空间( ， f ， p )上的任意连续型信源的微分熵的强偏差定理是本文的推论；第五章，总结本文的主要结论。