sample covariance 中文意思是什麼

sample covariance 解釋
樣本協方差
  • sample : n 1 樣品,貨樣。2 標本;榜樣,實例。3 【統計】典型取樣,抽檢查。4 【電訊】信號瞬時值。5 【冶金】 ...
  • covariance : n. 【統計學】協方差,協變性;共離散。
  1. For the given sample points, and matrix formed by covariance function with sample points as parameters, when the number of sample points approaches infinite, it is proven that this matrix spectrum will approach the spectral approach theorem for positive - definite kernel of integral equation

    對給定的樣本點,由樣本點為變量的協方差函數構成的矩陣,當樣本點個數趨于無窮大時,證明此矩陣譜逼近於積分方程正定核的譜逼近定理。
  2. ( 3 ) adaptive sample algorithm such as predicted covariance threshold method, pre - establish sample interval method, and recursive method have been researched. we especially analyze the advantage and disadvantage of predicted covariance threshold method and pre - establish sample interval method, and present an improved pre - establish sample interval method

    分析了當前常用的預測協方差門限法,預先定義采樣間隔法以及遞推法,特別分析了預測協方差門限法和預先定義采樣間隔法的優缺點后,綜合兩者的優點提出了改進的預先定義采樣間隔法。
  3. First we construct a covariance matrix from sample images, then compute the eigenvalues and corresponding eigenvectors of the covariance matrix, construct a feature matrix with the eigenvectors. then every images in database can be projected into the feature matrix and gain a projection vector, so does the input image. then we can judge the resemblance between input image with each image in database by computing the distance between their projection vectors

    我們首先根據採集的樣本圖像構造一個協方差矩陣,然後求取該矩陣的特徵值,以這些矩陣特徵值對應的特徵向量構造出一個特徵空間,然後將輸入圖像向該特徵空間映射,將獲取的映射系數與樣本庫中圖像的映射系數進行距離計算,根據計算出的距離判定輸入圖像與樣本圖像間的匹配程度。
  4. First we construct a covariance matrix from sample images, then compute the eigenvalues and corresponding eigenvectors of the covariance matrix, construct a feature matrix with the eigenvectors. then every image in database can be projected into the feature matrix and gain a projection vector, so does the input image. then we can judge the resemblance between input image with each image in database by computing the distance between their projection vectors

    然後,根據採集的樣本圖像構造一個協方差矩陣,求取該矩陣的特徵值,以這些矩陣特徵值對應的特徵向量構造一個特徵空間,將輸入圖像向該特徵空間映射,計算獲取的映射系數與樣本庫中各類圖像的映射系數的歐基里德距離,根據計算出的距離判定輸入圖像與樣本圖像間的匹配程度。
  5. The sub - optimal filter, which uses a 6 1 vector ( 3 position components and 3 velocity components ) as well as the corresponding covariance matrix to evaluate the performance of the filter, linearizes the original nonlinear system model and nonlinear observation model at their respective reference sample points

    這一濾波方法對高度非線性的動力學系統模型與觀測模型做了線性化近似處理,並選擇由彈道位置與速度分量組成的6維狀態矢量及其相應的協方差陣來評估系統濾波的效果。
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