最大似然譯碼 的英文怎麼說
中文拼音 [zuìdàsìrányìmǎ]
最大似然譯碼
英文
maximum likelihood decoding-
The viterbi decoding algorithm, proposed in 1967 by viterbi, and it ’ s proved that viterbi decoding algorithm is the maximum likelihood decoder algorithm of convolution code and it has excellent decode performance
Viterbi譯碼演算法在1967年由viterbi提出，經證明它是卷積碼譯碼得最大似然譯碼演算法，具有優異的譯碼性能。Viterbi algorithm is a kind of maximum likelihood decoding method, which can obtain high decoding speed and cost fixed decoding time, so it is widely used in deep space communication
維特比譯碼演算法是一種最大似然譯碼，它可以得到較高的譯碼速度以及譯碼計算時間固定，因而在深空通信中得到廣泛應用。Many of communication systems take the convolutional code and viterbi algorithm as the channel coding scheme. the viterbi algorithm decoding is a kind of maximum likelihood decoding, and its performance is good over additive white gaussian noise ( awgn ) channel, but when burst errors occur, the decoding performance may be greatly degraded
維特比譯碼演算法是最大似然譯碼，在由高斯白噪聲引起的隨機錯誤的通道中有良好的性能，但當通道錯誤集中或為突發錯誤通道時，維特比譯碼演算法則性能急劇下降。Convolutional coding is an error - control coding to process continuous data stream. the viterbi decoding algorithm is a type of maximum likelihood algorithm for memoryless channel. the convolutional coding employed with viterbi decoding algorithm has already become indispensable channel coding scheme in modern communication systems
卷積碼是一種糾錯編碼，它可以對連續的數據流進行處理; viterbi譯碼演算法是一種對無記憶通道卷積碼進行譯碼的最大似然譯碼演算法，使用viterbi譯碼演算法的卷積碼已成為現代通信系統不可缺少的通道編碼方案。However, stbc overcomes the limitation of sttc that its decoding is very complexly. it makes use of ml decoding arithmetic which possesses orthogonal designs
空時分組碼則克服了空時格形碼譯碼過于復雜的缺陷，它利用具有正交設計的最大似然譯碼演算法實現。Turbo codes were presented by c. berrou in international conference on communications in 1993. they hang convolutional code and random interleaver together to realize the idea of random coding, and adopt soft input / soft output ( siso ) iterated decoding to approach maximum likelihood decoding ( mld ). turbo codes come closer to approaching shannon ' s limit
Turbo碼，由c . berrou等在icc 』 93會議上提出，它巧妙地將卷積碼和隨機交織器結合在一起，實現了隨機編碼的思想，同時，採用軟輸入軟輸出迭代譯碼來逼近最大似然譯碼，具有近shannon限的性能。In this paper, we aim at the research to the decoding algorithm of turbo product codes, according to the principles of the log - likelihood ratio and the maximum a posteriori criterion, bunt the log - likelihood ratio approximating expression, form the correct strategy of iterative soft decoding, and present the optimal algorithm through software
幾乎所有tpc的應用研究都集中於採用矩陣交織，軟進/軟出（ siso ） 、重復譯碼的方式上。本文主要是針對tpc譯碼演算法進行研究，依據對數似然概率（ llr ）和最大后驗準則的原理，推導出對數似然概率估算的近似公式，形成tpc重復軟譯碼糾錯演算法，並通過軟體實現。However, in the part of the software, the schemes to programme coder and decoder are expatiated separately and the final flow charts are drawn after that. during the design of the coder, the selection of the information source and the modulation is discussed. according to the characteristic of the multi - phase modulation ml
在軟體實現部分，分別詳述了編碼器和譯碼器的編程方案並給出了最終實現的流程圖:編碼器的設計中論述了信息源和調制方式的選擇方法;而對譯碼器的最大似然演算法則根據多相調制的特點進行了演算法簡化和實現。Maximum likelihood decoding
最大似然譯碼It is an important method of error control coding technology to solve the problem of transmission dependability. viterbi decoding algorithm is a kind of maximum likelihood decoding. because it can gain higher decoding speed and have the fixed decoding interval, viterbi decoding is applied so widely
差錯控制編碼技術是解決傳輸可靠性的一種重要手段，維特比（ viterbi ）譯碼演算法是一種最大似然譯碼，它可以得到較高的譯碼速度以及譯碼計算時間固定，因而在通信系統中得到廣泛應用。分享友人