例句與造句

1. Log likelihood ratio decoding of ldpc coded modulation in ofdm system
   編碼調制的對數(shù)似然比譯碼
2. Log likelihood function
   對數(shù)概似函數(shù)
3. 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，介紹本論文的選題背景，對已有的工作進行扼要的介紹；第二章，利用似然比的概念研究相依連續(xù)型非負隨機變量序列的極限性質，得到一類強偏差定理，其偏差界依賴于正常數(shù)c ；第三章，利用對數(shù)似然比的概念得到一類隨機偏差定理，其偏差界依賴于r ( ) ，證明中引進了尾概率和尾概率的laplace變換的概念；第四章，利用對數(shù)似然比的概念，得到了一類關于任意連續(xù)型隨機變量序列的泛函的強偏差定理。
4. 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
   本論文繼續(xù)這方面的工作，利用似然比、對數(shù)似然比的概念研究相依連續(xù)型隨機變量序列的極限性質，得到相應的用不等式表示的強偏差定理。證明中提出了將laplace變換的工具應用于強極限定理研究的一種方法。
5. 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 )
   使得對于在概率空間( ， f ， p )上的任意連續(xù)型信源的微分熵的強偏差定理是本文的推論；第五章，總結本文的主要結論。
6. It's difficult to find log likelihood in a sentence. 用log likelihood造句挺難的