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maximum a posteriori中文是什么意思

  • 最大后驗(yàn)概率

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  • 例句與用法
  • Maximum a posteriori restoration with markov constraint for three - dimensional optical - sectioning microscopy
    三維顯微圖像復(fù)原及點(diǎn)擴(kuò)散函數(shù)的研究
  • The efficiency of this algorithm can be recognized from the experimental results which are attached at the end of this thesis . this thesis ends with the study of the maximum a posteriori ( map ) method with
    本文最后對最大后驗(yàn)概率估計法進(jìn)行了研究,給出了最大后驗(yàn)概率估計法的原理、方法和步驟。
  • 3 ) we try to import the bayesian adaptation , which is widely used in speech recognition , into speaker verification . we use bayesian maximum a posteriori estimation training a speaker model from background model , to solve the problem of model miss matching in speaker verification system
    3 )為了解決說話人確認(rèn)中存在的模型不匹配問題,嘗試將語音識別中的貝葉斯自適應(yīng)算法引入到基于高斯混合統(tǒng)一背景模型的說話人確認(rèn)系統(tǒng)。
  • And then facing the problem of the channel estimation of the adaptive modulation system , we conclude out the channel estimation algorithms on maximum likelihood ( ml ) estimation and maximum a posteriori ( map ) estimation under the condition of flat fading channel and selective fading channel in detail . to meet flat fading channel , we simulate the relationship of the ratio between the error covariance in map estimation and ml estimation and pilot symbol message length . the conclusion can be drawn from these results
    接著,對自適應(yīng)調(diào)制系統(tǒng)中的信道估計問題難點(diǎn),詳細(xì)推導(dǎo)了平衰落信道條件下和選擇性衰落信道條件下最大似然( ml )估計和最大后驗(yàn)概率( map )估計算法,針對平衰落信道,我們仿真了map估計和ml估計的方差與導(dǎo)頻符號長度的關(guān)系,仿真結(jié)果表明,錯誤方差受多譜勒頻率的變化影響最大,并且對實(shí)際的自適應(yīng)調(diào)制系統(tǒng),導(dǎo)頻符號長度的取值超過20個符號長度時, map信道估計明顯優(yōu)于ml信道估計。
  • 3 , on the base of the traditional spatial filtering , the author present , a new despeckle algorithm , that make use of iterated processing and correlated neighbourhood model , iterated filtering method of the sar image combining the correlated neighbourhood model with maximum a posteriori filter . first , a series of templates refecting direction information are established and every template is present for a kind of neighbour structure . then on the basis of sar images statistical property , the maximum a posteriori estimate of the real intensity under observation image values is got by bayes formulatio - n
    3 、針對傳統(tǒng)空間濾波器的不足,引入迭代處理和相關(guān)鄰域模型的概念,提出了基于相關(guān)鄰域模型的最大后驗(yàn)迭代濾波。該算法引用一系列反映局部邊界特征的鄰域模型,以描述圖像的細(xì)節(jié)。引入強(qiáng)度的先驗(yàn)概率分布模型,利用bayes方法,對各個結(jié)構(gòu)進(jìn)行實(shí)際強(qiáng)度的最大后驗(yàn)估計。
  • 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(yīng)用研究都集中于采用矩陣交織,軟進(jìn)/軟出( siso ) 、重復(fù)譯碼的方式上。本文主要是針對tpc譯碼算法進(jìn)行研究,依據(jù)對數(shù)似然概率( llr )和最大后驗(yàn)準(zhǔn)則的原理,推導(dǎo)出對數(shù)似然概率估算的近似公式,形成tpc重復(fù)軟譯碼糾錯算法,并通過軟件實(shí)現(xiàn)。
  • Such code is also called gradually good code or shannon code . in 1993 , c . berro etc . firstly proposed a new channel code method - turbo code , which employed recursive systematic code 、 the random interleaver 、 map ( maximum a posteriori ) algorithm and iterative decoding algorithm obtained the capacity that had only 0 . 7db difference compared to the shannon limitation
    1993年c . berro等首先提出了一種全新的信道編碼方式? turbo碼,采用遞歸系統(tǒng)碼與隨機(jī)交織器構(gòu)造turbo碼,并將map ( maximumaposteriori )算法和迭代算法應(yīng)用于解碼過程,獲得了與香農(nóng)理論極限僅差0 . 7db的性能。
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