觀察矩陣 的英文怎麼說

中文拼音 [guānchájǔzhèn]
觀察矩陣 英文
observation matrix
  • 觀 : 觀名詞1. （道教的廟宇） taoist temple2. （姓氏） a surname
  • 察 : Ⅰ動詞（仔細看; 調查） examine; observe; look into; scrutinize Ⅱ名詞（姓氏） a surname
  • 矩 : 名詞1. （畫直角或正方形、矩形用的曲尺） carpenter's square; square2. （法度; 規則） rules; regulations 3. [物理學] moment
  • 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...
  • 觀察 : observe; watch; survey; observation; inspection; review; viewing; examine; outsight; overlook; ap...
  • 矩陣 : [數學] matrix; array
  1. A. p. verbyla and w. n. venables ( 1988 ) extended the ordinary growth curve model into the extension of growth curve model and obtained an estimate of the unknown parameter matrix under the conditions that the matrix of observations follow multivariate normal distribution, where every design matrix has full column rank [ 7 ]

    A . p . verbyla和w . n . venables （ 1988 ）將gc模型進行了推廣，得到了推廣增長曲線模型（ theextensionofgrowthcurvemodel簡稱egc模型） ，並在觀察矩陣服從正態分佈，各設計矩陣均為列滿秩的條件下，給出了參數矩陣估計值的一種演算法。
  2. Structure that is a left - handed look - at matrix

    結構，該結構是一個左手坐標系的觀察矩陣。
  3. Structure that is a right - handed look - at matrix

    結構，該結構是一個右手坐標系的觀察矩陣。
  4. You could also move the view matrix to affect your coordinate system

    你也可以移動觀察矩陣來影響你的坐標系統。
  5. Anderson, amemiva and fujisawa et al scholars extended the growth curve model into the one with random effects and considered the likelihood ratio criterion ( lrc ) for its mean structure, where the random vectors follow normal distribution on the assumptions that random effects and random errors are mutually independent [ 1 ] [ 2 ]

    Anderson ， amemiva和fujisawa等學者將gc模型推廣為含有隨機效應的增長曲線模型（ thegrowthcurvemodelwithrandomeffects ） ，並在觀察矩陣服從正態分佈的條件下作了關于均值的廣義線性假設似然比檢驗。
  6. Firstly, a new joint filterbank precoders and decision feedback equalizers structure is proposed, and the corresponding optimization result based on the maximal mutual information criterion is derived. secondly, the concept of dt canonical model is proposed, which is very suitable for the task of blind signal processing based on the second - order statistical of the observations. thirdly, the methods of blind equalization and identification of the tv dispersive channels are researched systematically based on the proposed dt canonical model, and a subspace blind identification algorithm of the time - invariant channel matrix is developed

    本文創新性的成果在於：提出了預編碼-判決反饋聯合均衡系統結構，並從理論推導得出了對應的最大互信息量最優化設計結果；首次提出了時變色散通道的離散正則模型概念，該模型適宜於利用觀察數據的二階統計量進行盲信號處理；基於離散正則模型對時變色散通道進行了系統的盲均衡和盲辨識方法研究，提出了對時不變通道矩陣的子空間盲辨識演算法；針對誤差傳播效應問題，提出了可以消除誤差傳播效應的兩級盲辨識演算法；提出了基於離散正則模型的直接盲均衡演算法；提出了基於特徵恢復思想的神經網路直接自適應盲均衡演算法。
  7. Combining the texture rendering of opengl with the display of cutting surface of 3d models, it is easy to observe the inner tissues or organs images information. in chapter five, we had studied the interactive visualization of acupuncture point of reconstructed 3d models. a interactive point orientation methods from the select operation of opengl is presented in this dissertation

    第四章對模型的剖切處理進行了闡述，為了觀察三維體數據內部組織結構和空間位置，避免表面重建不能顯示體數據內部信息問題，提出了一種類似光照投射法的演算法，採用射影空間矩陣進行運算來獲取切割面的圖像信息。
  8. A selection method of serm factorizations for linear transforms is presented. it is discovered that the near optimal results are almost everywhere and when the factorization error is small, the closer the permutation matrices, the closer the results. according this fact, a local search is proposed that based near optimal factorization method which can obtain the near optimal results. moreover, this method convergence very fast, can usually obtain useful results by very limited iterations. it is tested lossless image coding with the selection results and good results is obtained

    通過大量的實驗，發現serm分解的近似最優結果是大量存在的，而且這些近似最優結果的分佈是分散的，當分解結果的誤差度量比較小時的時候，有當置換矩陣相近時，分解結果的誤差也相近的實驗事實。基於此觀察結果，給出了基於局部搜索的serm分解的近似最優分解方法，可以得到非常接近最優分解的結果。
  9. Orthogonal matrixes have special structures, and every row vector of them can be taken as a plot, which may be parametrized in n - sphere space. through the research of structures of orthogonal matrixes, the writer finds a parametrized matrix, which can express all the orthogonal matrixes. through analysing uprightness between related high - order planes and the number of required parameters, we get the maturity of this method

    自然的，這些點可以用其球坐標，即與各坐標軸的夾角來參數化，作者通過觀察正交矩陣的幾何結構，最終找到了任意維數的隨機正交矩陣的參數表示方法，通過分析相關超平面之間的垂直關系和參數化正交矩陣需要的參數個數，論證了這種表示的完備性。
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