樣本協方差陣 的英文怎麼說

中文拼音 [yàngběnxiéfāngchāzhèn]
樣本協方差陣 英文
sample covariance matrix
  • 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
  • 本 : i 名詞1 （草木的莖或根）stem or root of plants 2 （事物的根源）foundation; origin; basis 3 （本錢...
  • 協 : Ⅰ形容詞（共同） joint; common Ⅱ動詞（協助） assist; help; aid
  • 方 : Ⅰ名詞1 （方形; 方體） square 2 [數學] （乘方） involution; power 3 （方向） direction 4 （方面） ...
  • 差 : 差Ⅰ名詞1 （不相同; 不相合） difference; dissimilarity 2 （差錯） mistake 3 [數學] （差數） differ...
  • 陣 : Ⅰ名詞1 （作戰隊伍的行列或組合方式） battle array [formation]: 布陣 deploy the troops in battle fo...
  • 樣本 : sample book; specimen; advanced copy; sample; muster; scantling; instance; statistics
  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. Under ideal conditions, adaptive array signal processing methods can get excellent performance and adaptive beamformers provide an improvement in array output signal - to - interference - plus - noise - ratio ( sinr ) in comparison with conventional beamforming. in practical operating circumstances, the performance of adaptive array signal processing methods degrade extremely due to existing errors

    但是，在實際系統中總存在有誤差，包括自適應訓練樣本有限次快拍引起的協方差矩陣的估計誤差和各種系統誤差，誤差使得實際陣列流形與理想陣列流形存在差異，這時自適應陣列信號處理的性能會急劇下降。
  3. In this paper, an improvement is made through selecting a group of normal orthogonal vectors in feature subspace, to generate large amount of virtual training samples

    摘要在模式特徵子空間中選取一組標準正交向量，使用這組向量可以生成大量的虛擬訓練樣本，從而實現對協方差矩陣的優化。
  4. First, using the scale - invariant property of multiscale model, i. e. markovian among scales, a method of qth - order tree - based for multiscale representation of a class of 1 - d stochastic process is presented. the multiscale stochastic model is established. the representation forms of parameter matrices, such as, the state transition matrix, the disturbance matrix, the initial state and the corresponding covariance matrix are deduced in detail

    本文在已有工作的基礎上，開展了以下幾個方面的研究工作： 1 、根據多尺度模型尺度不變性，即利用尺度間的markov性，給出了一類1 - d隨機過程基於一般q階樹的多尺度表示方法，建立了相應的多尺度動態模型，詳細推導了多尺度模型中的狀態轉移陣、擾動陣、初始狀態和相應的協方差陣，並通過計算機模擬給出了不同階樹的多尺度采樣路徑。
  5. 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。
  6. 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。
  7. The covariance of the training samples which are sampled from the antenna arrays is delivered into svm training machine after transformed suitably, then we use svm regression on the unknown samples according as the trained machine for getting the source location

    把陣列天線採集的訓練樣本的協方差矩陣進行適當變換之後送入svm訓練器進行學習，然後根據這個學習機對未知樣本進行svm的函數擬合，得到信源方向。
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