markov estimation 中文意思是什麼

markov estimation 解釋
馬爾可夫估計
  • markov : 馬爾科夫
  • estimation : n. 1. 估計，評價。2. 預算，預算額；概算。3. 尊重，尊敬。4. 意見，判斷。5. 【化學】估定；測定。
  1. The application of the neighbor markov random field has been analyzed in the dissertation. from the angle, the infrared fpa imaging target detection technology based on the adaptive background estimation is also proposed

    論文應用markov隨機場的局部約束特性，從紅外圖像背景概率場角度，提出了基於背景自適應估計的紅外焦平面圖像目標檢測技術。
  2. The three basic problems of two - dimensional ( 2 - d ) bidden markov models ( hmms ) are studied, including probability evaluation, optimal states and parameter estimation

    摘要研究了2維隱馬爾可夫模型的三個基本問題，包括概率評估問題、最優狀態問題和參數估計問題。
  3. I analyze the relationships between transition probabilities and transition intensities by markov and semi - markov models, and then discuss the estimation of transition intensities. part 3 : the payable probabilities

    通過markov和semi - markov模型，分析了健康、疾病、死亡三狀態間轉移概率和轉移強度之間的關系，並從實驗的角度分析了對轉移強度的估計方法。
  4. The results show that the ionosphere - weighted model or the tropospheric estimation, integrated with the partly - weigthed least squares, can improve, the success rate and the reliability of ambiguity resolution ; however, if the ionospheric delay or the tropospheric delay, which is modeled on random walk process or first - order gauss - markov process, is estimated with the kalman filter, it will reduce the success rate and the reliability of ambiguity resolution

    將電離層延遲作為零均值的隨機遊走過程（電離層加權模型） ，將對流層延遲作為靜態參數，採用非遞推形式的加權最小二乘法來估計，可以提高模糊度解算的成功率和可靠性。
  5. 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。
  6. At last, combining the related knowledge of wavelet theory and hidden markov models, we introduce wavelet transformation for nonparametric estimation of hmm ' s and discuss how to choose resolving scale of haar - wavelet orthogonal series " estimation

    最後，結合小波理論和隱馬爾科夫模型的相關知識，將小波變換應用到隱馬爾科夫模型非參數估計問題中來，並探討了其中haar小波正交級數估計量分解尺度的選取。
  7. The estimation of the semi - markov processes performance potentials based on parallel simulation

    過程性能勢的并行模擬估計
  8. Parameters estimation of multi - collinearity gauss - markov model based on minimum description length

    模型參數估計的最小描述長度方法
  9. Wavelet transformation of hidden markov processes and its parametric estimation

    隱馬爾可夫過程小波變換的參數估計
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