virtual convergence 中文意思是什麼

virtual convergence 解釋
虛擬整合
  • virtual : adj. 1. 實際上的，實質上的，事實上的。2. 【物理學】虛像的。3. 【物理學】有效的；【計算機】（網上）虛擬的。4. 〈古語〉具有可產生某種效果之內在力的。
  • convergence : n. 1. 聚合，會聚，輻輳，匯合。2. 集合點；【數、物】收斂；【生物學】趨同（現象）。
  1. An algorithm for detecting moving ir point target in complex background is proposed, which is based on the reverse phase feature of neighborhood ( rpfn ) of target in difference between neighbor frame images that two positions of the target in the difference image are near and the gray values of them are close to in absolute value but with inverse sign. firstly, pairs of points with rpfn are detected in the difference image between neighbor frame images, with which a virtual vector graph is made, and then the moving point target can be detected by the vectors ' sequence cumulated in vector graphs. in addition, a theorem for the convergence of detection of target contrail by this algorithm is given and proved so as to afford a solid guarantee for practical applications of the algorithm proposed in this paper. finally, some simulation results with 1000 frames from 10 typical images in complex background show that moving point targets with snr not lower than 1. 5 can be detected effectively

    基於運動點目標在鄰幀差分圖像中所具有的近鄰反相特徵，即運動點目標的兩個位置相鄰近、灰度值一正一負，提出一種在復雜背景下，基於紅外序列圖像的運動點目標檢測演算法.本演算法利用該特徵在鄰幀差分圖像中檢測反相點對，進而構造反相點對矢量圖，最後依據累積反相點對矢量圖中多矢量首位相接的連續性檢測出運動的點目標.文中給出並證明應用本演算法能以概率1檢測到運動點目標的收斂性定理.對典型復雜背景下10幅1000幀圖像的模擬結果表明，當信噪比大於或等於1 . 5時，可以有效檢測出運動點目標
  2. The physics meaning of these two corollaries is explained by virtual of the generalized functions " weak - convergence theory. there exist some disadvantages such as low measuring resolution and high calculating amount for multi - scale wavelet transform when the noise in signals is higher

    與一般基於多尺度分解的小波變換的檢測方法相比，這種新的函數檢測函數可以在保證檢測精度的同時，拓寬小波變換中用於信號檢測的尺度范圍。
  3. Finally we carry out the emulation against the small virtual urban road network, validate the predicted result of the module and analysis the convergence and efficiency of the algorithm

    最後針對一虛擬路網對模型進行了模擬，驗證了該模型的預期結果，分析了微粒群演算法的收斂性及演算法效率。
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