離散抽樣 的英文怎麼說

中文拼音 [lísǎnchōuyàng]
離散抽樣 英文
discrete sampling
  • 離 : Ⅰ動詞1 （離開） leave; part from; be away from; separate 2 （背離） go against 3 （缺少） dispens...
  • 散 : 散動詞1. （由聚集而分離） break up; disperse 2. （散布） distribute; disseminate; give out 3. （排除） dispel; let out
  • 抽 : 動詞1 （把夾在中間的東西拉出; 提取） take out （from in between） 2 （從全部里取出一部分; 騰出） ...
  • 樣 : Ⅰ名詞1. （形狀） appearance; shape 2. （樣品） sample; model; pattern Ⅱ量詞（表示事物的種類） kind; type
  • 離散 : dispersed; scattered about; separated from one another; spread; debunching; straggling; fringing;...
  • 抽樣 : [統計] sample; sampling; specimen; samples draw
  1. Moreover, the block time - recursive 2 - d rdgt algorithms and their unified parallel lattice structure implementation are extended from 1 - d rdgt case. three applications of the rdgts are investigated : gabor representation for transient signals via the rdgts, mnr fid signal enhancement via the oversampled gabor transforms, representation and approximation of time - varying systems via the rdgts. the experimental results show the efficiency and advantages of the rdgts in applications

    研究了基於實值離散gabor變換的瞬變信號表示演算法、基於過抽樣實值離散gabor變換的核磁共振fid信號增強演算法以及基於實值離散gabor變換的線性時變系統表示與逼近方法，實驗結果驗證了實值離散gabor變換在應用方面的優越性和有效性。
  2. A novel method of content - based image segmentation using deformable template matching is proposed. a two - dimensional ( 2 - d ) deformable template based on orthogonal curves is built by pre - computing extensions of the deformable template along orthogonal curves and sampling the curves uniformly. then the definitions of internal and external energy functions are given according to the image segmentation problem, and genetic algorithm is used to obtain globally optimal solutions. the proposed method uses a lower - dimensional search space than conventional methods and reduces the sensitivity of the algorithm to initial placement of the template. experiments on real - world images and in simulations at low signal - to - noise ratio show the robustness and good performance of the method

    本文提出一種採用可變形模板匹配技術進行基於內容的圖像分割演算法.通過預先計算出可變形模板沿著變形的正交曲線，並對模板曲線及正交曲線進行離散抽樣，建立一基於正交曲線的二維（ 2 - d ）可變形模板，針對圖像分割問題定義控制可變形模板進行變形的內、外部能量函數，本文採用遺傳演算法搜索能量函數最小的全局最優解.該新演算法比傳統的可變形模板匹配方法降低了搜索空間的維數，減少了演算法對模板初始位置的敏感.對實際圖像及模擬低信噪比圖像處理的結果表明，新演算法具有良好的分割精度及穩定性
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