markov transform 中文意思是什麼
markov transform
解釋
馬爾可夫變換-
Compared with aitken extrapolation, eigenvalues - based algorithm bypass aitken transform and perform more effectively than aitken extrapolation algorithm theoretically in the process of iterating hyperlink - based markov matrix
與aitkenextrapolation演算法相比，基於特徵值求解的演算法不藉助aitken變換，而通過特徵值直接求解馬爾可夫超鏈接矩陣的主特徵向量，從理論上比aitkenextrapolation演算法更高效。 -
In this paper, we introduce a new framework for statistical signal processing based on wavelet - domain hidden markov models ( hmms ) that concisely models the statistical dependencies and nongaussian statistics encountered in real - world signals, since the wavelet transform can decorrelate image data by reducing the number of states of wavelet coefficients, thus making wavelet - domain hmms manipulable and usefu l for statistical image modeling
本文介紹了一種統計信號處理的框架模型，這種模型是基於小波域的隱馬爾可夫模型，它可以簡潔地對實際生活中遇到的信號的統計相關性和非高斯統計進行建模。因為小波變換可以通過減少小波系數的狀態數量來去除圖像數據的相關性，因此小波域的隱馬爾可夫模型對于統計圖像建模是可以掌控的和有用的。 -
For the second problem, we transform it to the computation of permanent, and monte carlo method and markov chain monte carlo method are used to sample
在計算m -齊次b zout數上，我們將它的計算轉換為矩陣積和式的計算，通過montecarlo方法和markovchainmontecarlo方法來進行抽樣。 -
The author considered great numbers of transmission characteristics of real channel in lms model and properly simplified it according to requirement in the project. the key characteristics in the model include multi - path fading, shadow fading, doppler shift, propagation noise, multi - path delay and and state transform of three status homogeneous markov chain described by lms model, etc. the key characteristics of channel are properly collocated and made to be the evidence theory of hardware implementation
Lms模型考慮了大量的實際通道傳輸特性，結合課題需求，實現過程中對lms模型做了適當簡化，考慮了其中的多徑和陰影衰落、多普勒頻移、傳播噪聲、多徑延遲以及lms模型所描述的三狀態齊次markov鏈的狀態轉換等，對其所描述的主要通道特性適當組合，以此作為硬體實現時的理論依據。 -
Then the markov random fields ( mrf ) theory was used to segment target df active illumination by light and sobel - transform information in this article. to make mrf algorithm suitable in actual setting, some technologies were analysis to make extracting steady. according to the analysis of laser beam through atmosphere turbulence, we found that : 1
其次，圍繞目標的特徵提取問題，文中討論了含噪照明目標圖像的分佈特點，並從亮度和邊緣變化方面對照明光束遠場特徵進行了分析和歸納，提出採用基於mrf理論對照明目標分割來提取目標形心特徵的方法。 -
Using the method of imbedded markov chain, probability generating funtion and laplace transform, we can obtain the mean queue length, mean waiting time for each queue and generalize this conclusion to multi - priority queues. this chapter includes four sections. in the first section, the detailed description of the system is given, and the set of stationary equations of the imbedded markov chain is obtained
第二章考慮的是一個三個隊輸入的帶優先權非搶先的m m 1系統，這是一個連續時間的排隊系統，採用嵌入馬爾可夫鏈的方法，以母函數和拉普拉斯變換為工具求出了三個隊的平均隊長和平均等待時間，並給出了此結論推廣到n個隊的根據和方法。
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