smoothing techniques 中文意思是什麼

smoothing techniques 解釋
平滑法
  1. The viscid flux is discretized by second - order central difference scheme. baldwin - lomax turbulence model is implemented in navier - stokes flow solver. for steady - state calculations, a four - stage runge - kutta scheme with convergence acceleration techniques such as local - time stepping and implicit residual smoothing is used

    其中,定常計算中的時間推進採用四步runge ? kutta方法,並應用了當地時間步長、隱式殘值光順等加速收斂措施;非定常計算中的時間推進採用jameson的隱式雙時間方法。
  2. 4. a 2 - d and 3 - d euler equations and n - s equations are solved using the cell - centered finite volume method and four - step runge - kutta scheme on the cartesian grids with standard convergence acceleration techniques such as local time stepping, enthalpy and implicit residual smoothing

    使用jameson中心有限體積法和runge - kutta時間推進方法,求解了關於二維、三維復雜流場的euler 、 navier - stokes方程,採用了當地時間步長、隱式殘值光順等多種加速收斂方法。
  3. In this paper, the upwind scheme and the central scheme are presented for solving 3 - d n - s equations using the cell - center finite volume spatial discretization and four - stage runge - kutta time stepping scheme, with standard convergence acceleration techniques such as local time stepping and implicit residual smoothing

    在n - s方程的數值計算上,採用了中心差分格式和迎風格式,用格心格式的有限體積法進行了空間離散,用四步龍格?庫塔法作顯式時間推進,並採用了當地時間步長和隱式殘差光順等加速收斂措施。
  4. The digital information is easy to process by pc. this paper introduces the stereo matching techniques in msv system, including image pre - processing, feature abstraction, stereo matching and depth information acquiring. in order to obtain images easy to detect objects " edges, images have to processed by the techniques such as guass smoothing and image enhancement

    針對顯微圖像的特點,對圖像進行了高斯平滑和圖像增強處理,有效的抑制了隨機噪聲對圖像處理的影響,提高了物體與背景的對比度,有效的實現了物體與背景的分離,為邊緣檢測特徵提取,立體匹配提供良好的圖像信息。
  5. This thesis also focuses on the way of modeling and evaluating the language model for lvsr and introduces detailed the linear and kneser - ney smoothing techniques and the strategy to estimate the discounting parameters using maximum - likelihood criterion

    同時本文還就大詞匯表語音識別系統的語言模型的構建以及評估問題進行深入探討,詳細介紹了線性平滑和kneser - ney平滑技術,並用最大似然估計的方法獲得其平滑參數。
  6. The variance problem can be reduced by smoothing the periodogram. various techniques to reduce spectral bias and variance are the subject of spectral estimation

    周期圖法是一個與物理學相關的小作品。你可以通過編輯或修訂擴充其內容。
  7. The quality of reconstructed surfaces is related to many factors, such as quality of original data and surface fitting strategy, surface post - processing, and so on. in this thesis, the relative techniques of high quality surface reconstruction and surface interrogation based on triangular mesh are studied in depth. the main contents are as follows : ( 1 ) typical mesh smoothing schemes are analyzed

    本文對基於三角網格模型的高質量工程曲面重建及曲面光順性分析的相關問題進行了研究,主要內容包括: ( 1 )在對現有幾種常用的三角網格模型光順演算法進行分析比較的基礎上,結合圖像處理中的kuwahara濾波以及雙邊濾波思想,提出了基於法矢修正的三角網格模型光順演算法。
  8. The techniques of smoothing, feature enhancing and optimization of triangle facet ' s shape are investigated systematically in this paper. based on modification of laplacian operator and mean curvature technique, an adaptive regularizing and smoothing mesh algorithm is put forward

    作者在研究消化所能收集到的國內外相關資料的基礎上,對三角網格模型的外形光順、特徵修復和三角片優化等技術進行了深入研究。
  9. Techniques gaining major research efforts include image smoothing, medium value filtering and image sharpening. besides, two kinds of image segmentation techniques are mentioned here, i. e. histogram - based segmentation and marginal extraction algorithm with bettered active - outline model

    本文的主要研究工作如下:研究了三種圖像預處理技術:圖像平滑、中值濾波和圖像銳化;以及兩種圖像分割技術:基於直方圖分析的分割方法和改進主動輪廓模型的邊緣提取演算法。
  10. For visualization geometrical data generated in numerical simulations, two subdivision methods are used and described in full detail. the two methods, which are triangular subdivision and quadrilateral subdivision, are incorporated into the visualization system with vtk for surface and volume rendering. the system supports a wide variety of visualization algorithms including scalar, vector, tensor, texture, and volumetric methods ; and advanced modeling techniques such as implicit modeling, polygon reduction, mesh smoothing, cutting, and contouring

    針對數值計算時被計算的幾何外形,即三維空間離散的數據所確定的幾何外形需要顯示出來特性,本文詳細介紹了兩種常用的剖分技術,即三角形剖分和四邊形剖分原理、方法;將現有的、特定的可視化演算法和技術與vtk類庫充分結合,設計了能讀取、存貯三角形或四邊形剖分的數據組織以及實現其幾何體繪制的類庫。
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