viterbi algorithm 中文意思是什麼

viterbi algorithm 解釋
比演演算法
  1. Then the thesis presents a probabilistic viterbi algorithm to segment address block and gets the character. finally, after independent chinese characters are recognized and fitted with address database, we get the address. in this way, automatic recognition of envelope ' s address is realized

    對得到的地址塊提出了一種利用概率型viterbi演算法進行字元切分的方法，最後將切分好的單個字元進行識別，並與地址數據庫進行匹配，從而得到地址，進而實現了信封地址的自動識別。
  2. There are two decoding schemes for convolution code, such as sequence decoding algorithm and viterbi algorithm. because of simplicity 、 excellent performance, viterbi decoding algorithm is abroad applied

    卷積碼的譯碼演算法有序列譯碼和viterbi譯碼兩大類， viterbi譯碼演算法由於其簡單、性能優異等特性得以廣泛應用。
  3. 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。
  4. There are many decoding schemes for convolutional code, such as sequence decoding algorithm, fano algorithm, viterbi algorithm. but in fact, what ' s used widely is viterbi decoding algorithm. the viterbi decoding algorithm, proposed in 1967 by viterbi, is a decoding process for convolutional codes in memory - less channel, which takes full advantage of convolutional codes. since viterbi algorithm is proposed, it has obtained rapid development whether in theoretics or in practice and been applied to all kinds of data transmission systems, especially to digital wireless communications and deep space communications

    卷積碼的譯碼演算法方案有很多，如序列譯碼演算法、 fano演算法、 viterbi演算法，但是真正大規模應用的還是viterbi演算法。 viterbi譯碼演算法是1967年viterbi提出的，它是一種對無記憶通道卷積碼進行譯碼的演算法。它充分發揮了卷積碼的特點，因而自viterbi演算法提出以來，無論在理論上還是在實踐上都得到了極其迅速的發展，並廣泛的應用於各種數據傳輸系統，特別是無線通信和衛星通信系統中。
  5. An improved viterbi algorithm of dsp generat ion is brought up to, and a new coding gain testing system is designed. the system tests the coding gain of the error - control system, and the coding gain is 9. 4db which exceeds the proposed index. at last, some suggestions are presented for the work in the future

    在對維特比譯碼演算法研究的基礎上，提出了維特比譯碼演算法基於dsp的改進方法，並且設計出一種新的編碼增益測試系統，對卷積編碼和維特比譯碼組成的差錯控制系統的編碼增益進行了測量，測試結果為9 . 4db ，優于設計指標，最後提出了一些對將來工作的建議。
  6. 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。
  7. Simulations over coding channel show that the more correct bits we know the better the performance is. the key point of constraint viterbi algorithm is how to provide the reliable constraint condition and make full use of it

    通過在編碼通道模型上的模擬表明，已知正確的約束位越多，分佈的越密，則提高的性能越明顯。
  8. We put the emphases on the soft output viterbi algorithm ( sova ), which is one of turbo code ’ s decoding algorithms, and presents the derivation and computation step of the sova decoding algorithm. after presenting sova and map decoding algorithms and analyzing four kinds of decoding algorithms, the paper makes a comparison among the different decoding algorithms by emulation analysis, and analyzes the time complexity of various algorithms, and then contrasts them. in the last part of this paper, according to the criterion recommended by the consultative committee for space data systems ( ccsds ), including code rate,

    根據空間數據系統顧問委員會（ ccsds ）為turbo碼應用於深空通信系統推薦的標準，包括碼率、碼塊大小、分量碼類型、約束長度、碼生成多項式，以及交織器的選擇等參數的建議以及sova譯碼演算法的理論基礎，設計了sova演算法的實現結構，通過模擬驗證了本文所採用的turbo碼的性能，從而證明turbo碼確實是一種很好的通道糾錯編碼方式，它適用於要求功耗低或信噪比低的深空通信系統中。
  9. A near mlse equalization algorithm based on va ( viterbi algorithm ) is presented for overcoming severe isi ( intersymbol interference ) in this paper

    本文利用編碼的思想，在viterbi演算法的基礎上提出了一種改進的準mlse均衡演算法，它能有效的克服嚴重的碼間干擾。
  10. At last, the part of speech is tagged in sentences by utilizing viterbi algorithm

    最後，運用viterbi演算法以句子為單位進行詞性標注。
  11. For the unit selection strategy, we achieve candidate units for target ones by calculating target cost based on prosodic character vector. then we use viterbi algorithm to select the best synthesis path for simulation speech by calculating concatenative cost of the synthetic waveform, thus a corpus - based speech simulation system comes into being, and speech simulated by this system has the original speaker ’ s style, rather vivid

    在合成單元的挑選方面，根據韻律特徵向量，通過計算目標代價獲得候選單元，根據語音合成單元串聯匹配代價，採用viterbi演算法選擇模擬語音的最佳合成路徑，從而初步實現了一個基於語料庫的語音模擬系統，該系統模擬出的語音具有原始發音人的風格，逼真度較高。
  12. This paper studies 3 kinds of algorithms : the viterbi algorithm, multiresolutional algorithm based on wavelet transformation and bayesian bootstrap algorithm. the viterbi algorithm is based on the hidden markov model theory and it is a kind of map estimation, this paper studies this algorithm and puts up an algorithm that suits for filtering in the presence of interference. multiresolutional algorithm takes full advantage of multiresolutional data, we can see it has a better filtering ability than the traditional filtering methods ; bootstrap algorithm is a recursive bayesian estimation, it describes the probability density function by the samples, so it can be used to nonlinear non - gaussion filtering, the simulation result of the two groundings is presented

    Viterbi演算法以隱馬爾可夫理論為基礎，是一種最大后驗概率估計方法，本文對該演算法進行了研究，給出了一種適合於非高斯干擾條件下的濾波方法；多分辨分析方法充分利用到了多解析度測量數據所包含的信息，從模擬結果中可以看出，該方法的濾波精度要高於傳統的濾波演算法；自主濾波方法是一種遞推貝葉斯估計演算法，它利用采樣點來描述目標狀態的概率密度函數，因而適用於非線性、非高斯條件下的濾波，本文分別對這兩種情況下的濾波進行了模擬。
  13. In the thesis, from a new point of view, we investigate the application of non - linear dynamics into the turbo codes and mud area, namely, how the chaos dynamics can be applied in turbo codes development, and how the chaos and neural networks dynamics can be applied in mud. the main contribution of the thesis can be summarized as follows : 1. an iterative decoding algorithm based on map ( maximum a priority ) and soya ( soft output of viterbi algorithm ) in awgn ( additive white gauss noise ) channel is proposed, and the effectiveness of the algorithm is justified by simulation performed on awgn and rayleigh fading channels

    為介紹本文作者的創新工作，在論文簡要講述3g 4g的發展過程及其關鍵技術，其中著重介紹turbo碼和多用戶檢測的發展過程、研究內容和基本原理之後詳細介紹了作者的如下貢獻和創新： 1 、根據turbo碼的迭代譯碼原理，系統地推導出awgn通道中turbo碼基於map和sova的迭代譯碼演算法，演算法的有效性由awgn通道和rayleigh衰落通道下的性能模擬得到證實。
  14. The unigram hmm based on the probabilistic method and viterbi algorithm are proved effective in solving the problem of uyghur pos tagging effectively

    實驗證明，基於概率統計的一階隱馬爾可夫模型以及viterbi演算法能有效的解決維吾爾語詞性標注的問題。
  15. In this thesis, we first introduce give the definition of hidden markov models. then the methods to solve the three basic problems in the application of hidden markov models are introduced, namely three basic arithmetic : forward - backward algorithm, viterbi algorithm, baum - welch algorithm. also we present commonly model of hidden markov processes dynamic system

    在這篇論文中，首先給出了隱馬爾科夫模型的定義，接著介紹了隱馬爾科夫模型實際應用中所面臨的三大基本問題的解決方案，即隱馬爾科夫模型三大基本演算法：前向一後向演算法、 viterbi演算法、 baum ? welch演算法。
  16. Realization of viterbi algorithm in mlse

    演算法的實現
  17. An improved viterbi algorithm

    譯碼的改進演算法
  18. In the channel decoding part, viterbi algorithm and de - interleaving are realized to decrease bit error rate and increase transmission efficiency

    這些都在一定程度上降低了通道的誤碼率，提高了的通道的傳輸效率。
  19. The coding was easy to implemented and we used the viterbi algorithm to decode. at the part of hardware we discussed the hardware implement and show the good performance

    卷積編碼的編碼部分實現是比較容易的，在解碼部分採用了viterbi譯碼演算法。
  20. Viterbi algorithm has been widely used in data transmission systems since it brings out in 1967, because of its high efficiency, fast speed, simply structure

    自1967年viterbi演算法提出以來，由於其效率高、速度快、結構簡單，而被廣泛應用於各種數據傳輸系統。
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