誤差矩陣 的英文怎麼說

中文拼音 [wùchājǔzhèn]
誤差矩陣 英文
error matrix
  • 誤 : Ⅰ名詞（錯誤） mistake; error Ⅱ動詞1 （弄錯） mistake; misunderstand 2 （耽誤） miss 3 （使受損害...
  • 差 : 差Ⅰ名詞1 （不相同; 不相合） difference; dissimilarity 2 （差錯） mistake 3 [數學] （差數） differ...
  • 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...
  • 誤差 : error
  • 矩陣 : [數學] matrix; array
  1. The new ways that solve multiple objectives decision making under risk into probability permanent type : decision making diagram method, matrix analysis method, multiple objectives markov method, the shortest distance method, successive type variation multiple objectives decision making under risk method and fuzzy analysis decision making method. 3. the new modes that solve multiple objectives decision making under risk into probability interval type and uncharted type : weighted method and sorting method 4 the new repent average value criterion that handle multiple objectives decision making under risk into probability uncharted type and generalizing the criterions that have been used into one objective decision making under probability into uncharted type to multiple objectives decision making under probability into uncharted type. 5. giving the error analyses method and decision result regulating method that been used into multiple objectives decision making under risk

    2 、探討了『決策圖法』 、 『矩陣法』 、 『多目標馬爾科夫法』 、 『最小距離法』 、 『連續型變量的多目標風險型決策法』和『模糊分析決策法』等解決概率固定型的多目標風險型決策的新方法。 3 、探討了『加權法』 、 『排序法』兩種解決概率區間型和未知型的多目標風險型決策的方法； 4 、在概率未知型的多目標風險型決策中改進了『後悔值準則』 ，提出了『後悔均值準則』 ；並將單目標概率未知型風險型決策的準則推廣運用到多目標概率未知型的風險型決策中去； 5 、探討了多目標風險型決策方法誤差分析及決策結果值調整的方法。
  2. We get the sensitivity matrix using the model that contains model error in the following two cases. if the identification data are got using the model without model error before and after the damage, the error resulted from model error can be overlooked. if the data are got using model with model error before the damage and using the model without model error after the damage, error results from model error is first order and model error can bring more assessment errors

    2 、本文詳細分析了模型誤差對損傷識別結果的影響，經過公式推導及實例分析說明，損傷靈敏度矩陣用有模型誤差的理論分析模型來建立，如果損傷前後都用無模型誤差的實測數據來識別，此時誤差為二階微量可以忽略；如果損傷前採用有模型誤差的數據而損傷后採用無模型誤差的實測數據，此時誤差為一階量，可能引起較大的識別誤差。
  3. It is especially attractive for the downlinks and suppressing intercell mai. when multiuser detector is adapted in blind mode, it usually adopts eignvalue decomposition or singularvalue decomposition of received sample correlation matrix and tracking alrithgms, which result in high computational complexity. at the same time, approximation computation in tracking alrithgms also result in slow convergence

    為實現盲自適應檢測，通常採用對接收信號樣本矩陣進行特徵值分解（ evd ）或奇異值分解（ svd ）后進行跟蹤，由此帶來的子空間秩跟蹤使得實現復雜度很高；另一方面，在跟蹤演算法中考慮一些實際情況而作出近似處理，從而引起誤差積累和正交性誤差，導致每次跟蹤開始階段跟蹤速度變慢。
  4. In chapter 2, author points out firstly that the elastic deformation of elastic units of a robot ' s wrist force sensor will be enlarged by the end - effector, the instruments and the work pieces, so the elastic deformation of the sensor will influence the location accuracy or kinetic accuracy of end point of a robot, under the condition of that the robot technology facing the developing of heavy load, light mass and high accuracy. it is discussed respectively that the relationship between the differential kinemics in the sensor ' s coordinate and the location accuracy or kinetic accuracy of the end point. error matrixes of location and kinemics of the end point are presented respectively based on the differential kinemics in the sensor ' s coordinate, and the on - line error compensation methods are introduced subsequently

    第二章首先指出機器人腕力傳感器彈性體的彈性變形經過機器人末端連桿、工具、工件等的放大后，會對機器人末端精確定位和運動產生的影響；然後分別研究了傳感器坐標系內的微分運動與機器人末端工件精確定位、運動的關系；在此基礎上，研究了基於腕力傳感器彈性體微分運動的機器人末端定位、運動誤差的誤差矩陣及其在線誤差補償方法；基於機器人動力學的機器人末端定位、運動誤差的誤差矩陣及其在線誤差補償方法；最後，以puma型機器人為對象，給出了基於腕力傳感器內微分運動的機器人末端定位、運動誤差及其在線補償方法的模擬實例：給出了基於機器人動力學的機器人末端定位、運動誤差及其在線補償方法的模擬實例；模擬結果表明， 1 ）基於腕力傳感器的機器人末端定位誤差在腕力傳感器允許的載荷下可達十分之幾毫米級。
  5. The granulometer error can be corrected through calculating an integrated light energy distribution coefficient matrix

    系統誤差可以通過計算積分式光能分佈系數矩陣校正。
  6. Based on the multi - scale representation theory, we present a reduced order model for the solving of the inverse problem. also the relative error covariance matrix is used to analyze the performance of models with different orders ; 4

    基於小波多尺度表示理論給出逆問題求解的多尺度降階模型，同時用相對誤差協方差矩陣對階數不同的降階模型的估計精度進行分析； 4
  7. In this algorithm, the sharp features on a mesh model are located through analysis of quadric error matrixes of super - neighbor of vertices on the model, so that these features can be preserved during mesh simplification

    通過分析網格模型中頂點超鄰域的二次誤差矩陣，對模型上的重要細節特徵進行定位，實現了網格簡化過程中細節特徵的保持。
  8. 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。
  9. This method constructs covariance matrix by utilizing data vectors in different range lines and projects phase error vector into noise sub - space which is formed by eigendecomposing the covariance matrix

    該方法利用不同距離單元的觀測矢量構造協方差矩陣，然後通過對協方差矩陣特徵分解得到噪聲子空間，最後將相位誤差矢量向噪聲子空間投影來估計多普勒調頻率。
  10. We analyses the different result of pca by using autocorrelation matrix and covariance matrix, and point out that the express of pca is different but the error are the same

    分析了用協方差矩陣和自相關矩陣得出的pca表達是不同的，但是兩者的誤差是相同的。
  11. An error matrix for accuracy assessment was then produced

    之後我們製作了誤差矩陣來進行誤差評估。
  12. The overall accuracy and kappa index are calculated by using the error matrix to check up the classification ’ s accuracy

    為檢驗分類精度，本文使用了誤差矩陣，計算了分類總精度和kappa指數。
  13. After analyzed and studied on some algorithms about how to simplify a complex 3d geometric model from home and abroad, this paper proposes the concept of divisional envelope pitch and ameliorates the method of envelope ' s conformation proposed by cohen using the dichotomy in linear search. when a triangle is selected and contracted tentatively, two corresponding divisional envelope pitches should be constructed at first. the divisional envelope pitch is a bit of the whole simplification envelope

    本文對當前國內外有關幾何模型的簡化演算法進行了分析和研究后，將三角形收縮簡化操作與包絡控制簡化誤差的方法相結合，利用一維線性搜索中的二分法改進了cohen提出的簡化包絡構造演算法；隨后又綜合簡化包絡的誤差控制方法和二次誤差矩陣的局部性誤差控制思想，提出了一種分解式包絡片的概念。
  14. The accurate float ambiguity solutions and their msem ( mean squared error matrix ) are obtained using several - epoch single frequency phase data. combining with lambda method, the new approaches can fix the integer ambiguities correctly and quickly using msem instead of the covariance matrix of the ambiguities

    新方法只需要解算幾個歷元的單頻gps相位數據，可以得到比較準確的模糊度浮動解及其相應的均方誤差矩陣，用均方誤差矩陣代替協方差陣，結合lambda方法，可準確快速地解算模糊度。
  15. Ensuring the short - range, medium - range and long - range errors, using the covariance evaluation and processing program for experimental data, the covariance matrices were constructed for each set of experimental data

    在確定各家數據的短程、中程和長程誤差的大小之後，用實驗數據協方差評價處理程序，構造出每一家數據的協方差矩陣。
  16. State estimation used by least square algorithm is usually done at the condition of unknown of it " s statistic property. to make the estimate error least, this paper introduce weight function and use weight least square algorithm ( wls ). the result of simulation shows that the precision of estimate result is highly enhanced and this method can satisfy the need of move and control of the power system

    在不知道隨機干擾信號統計特性的情況下，採用最小二乘法對電力系統的運行參數進行狀態估計，為了使估計誤差的方差矩陣最小，本文引入權函數使用加權最小二乘法，使估計結果的準確性大大提高，模擬結果顯示，該方法完全能夠滿足電網運行和控制的要求。
  17. We highlight the key points of this dissertation at the end of this charter. in chapter 2, a modified projection transformation method is presented, which utilizes preliminary estimation of interference doa. it is demonstrated that the side lobe performance of adapted antenna patterns can be significantly improved with this method and increased convergence rate of adaptive algorithm when the array manifold is not known exactly

    針對投影預變換在大信噪比時性能下降的缺點，提出了一種改進的基於投影預變換自適應波束形成演算法，通過對陣列協方差矩陣進行降維處理，既可抑制擾動誤差又可降低運算量，增強陣列的sinr輸出，具有良好的波束合成性能和較快收斂速度。
  18. The robustness of high - resolution doa estimators in the elementspace and beamspace is investigated thoroughly. an error model of array is established. a novel class of weighted toeplitz high - resolution doa estimators based on the covariance matrix of ula output is proposed, which can obviously improve the performance of high resolution in the presence of array errors

    系統研究了陣元域和波束域高分辨方位估計方法的穩健性，建立了陣列誤差模型，針對均勻線列陣提出了一種基於陣列輸出協方差矩陣的加權toeplitz化高分辨方位估計方法，能夠顯著提高存在陣列誤差情況下方位估計方法的高分辨性能。
  19. A sub - optimal kalman filter is presented in chapter 3, and the relative error covariance matrix ( recm ) is introduced to evaluate the performance of the fusion process ; 3

    給出一種多傳感器分散式次優kalman濾波器，並以相對誤差協方差矩陣作為量化指標，對該濾波器的融合效果進行評估； 3
  20. Some modeling of maneuvering target tracking is introduced in this thesis, and current statistical model is used as a basic target model. the arithmetic of kalman filtering based on the model is listed. on the foundation of state vector optimal estimation error matrix theory, the arithmetic of optimal estimation is presented, and target tracking simulation is taken

    本文首先介紹了幾種常用的機動目標跟蹤模型，並把現在較為常用的「當前」統計模型作為本文研究的目標模型，並列出了基於該模型下的卡爾曼濾波演算法;此外，在狀態矢量最優加權估計理論的基礎上，引入了目標狀態最優估計誤差協方差矩陣，提出了一種最優加權估計演算法，並進行了目標跟蹤模擬。
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