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maximum a posteriori中文什么意思

發(fā)音:   用"maximum a posteriori"造句

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  1. 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
  2. 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(duì)最大后驗(yàn)概率估計(jì)法進(jìn)行了研究,給出了最大后驗(yàn)概率估計(jì)法的原理、方法和步驟。
  3. 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(shí)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)。
  4. 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(duì)自適應(yīng)調(diào)制系統(tǒng)中的信道估計(jì)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(jì)和最大后驗(yàn)概率( map )估計(jì)算法，針對(duì)平衰落信道，我們仿真了map估計(jì)和ml估計(jì)的方差與導(dǎo)頻符號(hào)長度的關(guān)系，仿真結(jié)果表明，錯(cuò)誤方差受多譜勒頻率的變化影響最大，并且對(duì)實(shí)際的自適應(yīng)調(diào)制系統(tǒng)，導(dǎo)頻符號(hào)長度的取值超過20個(gè)符號(hào)長度時(shí)， map信道估計(jì)明顯優(yōu)于ml信道估計(jì)。
  5. 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(duì)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(duì)各個(gè)結(jié)構(gòu)進(jìn)行實(shí)際強(qiáng)度的最大后驗(yàn)估計(jì)。

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