矩陣奇異值 的英文怎麼說

中文拼音 [jǔzhènjīyìzhí]
矩陣奇異值 英文
singular values of a matrix
  • 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...
  • 奇 : 奇Ⅰ形容詞1 （罕見的; 特殊的; 非常的） strange; queer; rare; uncommon; unusual 2 （出人意料的; 令...
  • 異 : 形容詞1 （有分別; 不相同） different 2 （奇異; 特別） strange; unusual; extraordinary 3 （另外的;...
  • 矩陣 : [數學] matrix; array
  • 奇異 : 1. （奇怪） queer; strange; bizarre; odd 2. （驚異） surprising; curious
  1. Aiming at five kinds of targets from geneva lake which are rock, sand, pebble, grit and sullage, the features we extracted based on the cwt time - frequency matrix are singular values, some parameters of histogram and invariant moment

    針對萊蒙湖底的巖石、沙、卵石、砂礫、淤泥等五類目標，文中所提取的特徵主要有時頻矩陣的奇異值、直方圖的有關參數以及不變矩等三類特徵。
  2. This method can reflect local signal feature and well perform in the experiments. we also present an integrated electromyographic signal ( emg ) pattern recognition scheme. the application of an artificial neural network ( ann ) technique together with a feature extraction technique, for the classification of emg signals is described

    利用高階譜技術提取肌電信號的特徵信息，然後利用奇異值或者其它方法對二維特徵矩陣進行優化，將優化之後的一維特徵向量輸入神經網路分類器進行模式識別，這種方法能夠初步識別不同模式的上肢運動。
  3. 3 wang l, healey g. using zernike moments for the illumination andgeometry invariant classification of multispectral texture. ieeetrans. image processing

    三維紋理的光照不變性識別通過構建zernike矩不變因子矩陣，然後利用奇異值分解方法來計算區分因子解決。
  4. Relative key concept and technique of this method was described in detail in this paper, such as the decomposition of balance matrix, the modes of self - stress, the modes of inextensional mechanisms, the analysis model of optimization under linear constrained condition, the integration of constrained matrix

    文中對桁架理論的奇異值分解法、自應力模態、機構位移模態、有約束線性優化數學模型、約束矩陣集成等關鍵概念和技術進行了詳細的推導說明。
  5. The cable - strut tensile structures are the self - stress equilibrium systems composed by tensional cables and struts. in this paper, the basic concept of the structures was described. the analysis methods of the structural characteristics ( statically and kinematically determinate or indeterminate ) and the geometrical stability were presented. it is indicated that the cable - strut tensile structures are in stable equilibrium with first - order infinitesimal mechanisms. the ranks of equilibrium matrix were calculated by employing the singular value decomposition, and the independent modes of inextensional mechanisms and the states of self - stress were also obtained in the same way. this paper contains some typical examples which illustrate all of the main points of the work

    索桿張力結構是指由張力索和壓桿組成的、具有預應力自平衡的新穎結構體系.本文詳細闡述這種結構的基本概念和結構特徵，討論結構靜動定體系特性和幾何穩定性判定分析方法，指出索桿張力結構應具有一階無窮小機構的幾何穩定體系.文中採用奇異值分解方法計算結構平衡矩陣的秩，並計算獨立機構位移模態和自應力模態.最後，對幾種典型的索桿張力結構進行了算例分析
  6. 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。
  7. As we know, there exist some defects in solving normal equation system. in order to overcome the shortcomings, the singular - value decomposition method and its applications in direct solving the ill - conditioning observation equation are studied

    最後針對法方程解算方法存在的缺點，主要研究了矩陣的奇異值分解技術在直接解算病態觀測方程中的應用。
  8. A general matrix perturbation method for complex modes using singular value decomposition

    基於奇異值分解的復模態矩陣攝動法
  9. Standard face images are formed through the above - mentioned processing. during the feature extraction, for those standard face images, regarding the between - class scatter matrix as generating matrix, we extract the algebraic features of face images through k - l transform and singular value decomposition

    在人臉特徵提取過程中，對經過預處理的標準人臉圖像，以類間散布矩陣為產生矩陣，通過k - l變換降維並結合奇異值分解來提取人臉代數特徵。
  10. It process documents not only based on latent semantic analysis, but also based on text multilevel dependency structure. the method first analysis the latent semantic structure of texts, make single value decomposition on text - matrix, reconstruct the semantic matrix ; then a method based on text multilevel dependency structure is adopted, deeply analysis the content of the semantic matrix, abstract the important sentences to generate abstraction and make up the shortage of latent semantic analysis on structure and syntax

    首先通過對文本進行潛在語義分析，對文本矩陣進行相應的奇異值分解，重構語義矩陣;然後採用基於篇章多級依存結構的文摘分析方法，對重構的語義矩陣表示的文本內容進行深入的分析，抽取重要的句子生成文摘，這樣就彌補了潛在語義分析在詞法和句法分析上的不足;同時過濾和去除了語義噪音，縮小了問題的規模。
  11. In the first part, depending on three or more images, the main research work are listed as follows : ( l ) using svd decomposition to realize projective reconstruction ; ( 2 ) realizing camera self - calibration by solving kruppa ' s equation ; ( s ) recovering euclidean reconstruction from projective reconstruction. depending on only two images, the main researches are : ( l ) making out infinite plane homography matrix by using scene structure information, then recovering affine reconstruction from projective reconstruction ; ( 2 ) making out the absolute conic images by using scene structure information, and then recovering euclidean reconstruction from projective reconstruction

    在第一部分中，針對三幅及三幅以上的圖像，主要研究：利用矩陣奇異值分解（ svd ）實現射影重構，通過求解kruppa方程實現攝像機自標定，由射影重構恢復歐氏重構；針對只有兩幅圖像的情況，主要研究：利用場景結構信息求解無窮遠平面的單應矩陣，由射影重構恢復仿射重構，利用場景結構信息求解絕對二次曲線的像（等價于標定攝像機） ，由仿射重構恢復歐氏重構。
  12. The relation between the star and minus partial orderings of the normal matrices and its squares is discussed by using the singular value decomposition of a pair of normal matrices, some sufficient and necessary conditions for the equivalence between the star and minus partial ordering of the normal matrices and its squares are given, furthermore the relation between the star partial ordering of the general matrices and its squares are obtained

    摘要本文利用正規矩陣對的奇異值分解，研究正規矩陣及其平方矩陣的星型序和減序之間的關系，給出了正規矩陣及其平方矩陣的星型序等價和減序等價的充要條件，並得到了一般矩陣及其平方矩陣的星型序的一些關系。
  13. Discuss the symmetric solutions under restriction of norm - function using the singular value decomposition of matrix

    利用矩陣奇異值分解討論范函數約束下的對稱解
  14. Thirdly, the analysis method for nonlinear system using rank factor of observability and singular value decomposition are proposed, and navigation observability is analyzed

    第三，給出觀測矩陣秩條件及矩陣奇異值分解的非線性系統可觀性分析方法，對自主導航系統進行可觀性分析。
  15. ( 6 ) the analysis on singularity configurations of the manipulator were investigated by the singular value decomposition of jacobian matrix, which was treated with the damped least - square method in the motion. from the results obtained it was indicated that the minimum singular value of manipulator calculated by the damping jacobian matrix were far from zero position. velocity, position and accelerate of all the joints of manipulator moved regularly, consequently the problem that the joint of mani

    （ 6 ）通過雅可比矩陣奇異值分解進行番茄收獲機械手奇異性分析，並採用阻尼最小二乘法對機械手運動中的奇異位形進行處理，使番茄收獲機械手最小奇異值遠離零點，各關節運動速度、位置和加速度運動無異常波動，解決了機械手在奇異位形處某些關節運動無法控制的問題。
  16. In this paper, damped least - square method utilized to overcome kinematic singularity of robotic manipulators was improved, which achieved more accurate tracking compared to the traditional method. singular value decomposition ( svd ), to which was attached great importance in singularity - robust inverse kinematics and kinematic control of redundant manipulators, was investigated. also, an overwhelmingly utilized algorithm of svd was improved and some possible problems encountered in joint failure issues and redundant issues when using this algorithm was deeply discussed

    本文改進了解決機器人運動學奇異的阻尼最小二乘法，同傳統的阻尼最小二乘法相比具有更高的跟蹤精度;研究了在機器人奇異魯棒性逆運動學、機器人冗餘運動控制中佔有重要地位的矩陣奇異值分解，對一種應用廣泛的奇異值分解演算法做了改進，並對其在關節卡死和冗餘控制中可能遇到的問題做了較為深入的討論，系統地描述了一階運動學實現方案，為軌跡規劃打下了堅實的基礎。
  17. An algorithm for matching the esprit ' s estimation of two - dimensional angle by using twice svd and once schur is proposed. using two row uniformity sensor - arrays and adding one sensor, the algorithm decomposes the array twice and exploits rotational invariance properties of signal space, so that both angles may be computed via matrix pencil method, and these estimates are automatically paired. simulation results are presented to verify the efficacy of the proposed algorithm

    首先針對esprit演算法對窄帶源進行二維doa估計存在測向冗餘的情況，提出了一種改進演算法，該演算法利用子陣信號數據矩陣中包含的信號空間的旋轉不變性質，藉助于矩陣束方法求解出信號的二維到達角，並且利用兩次奇異值及一次schur分解從而實現了esprit二維doa估計參量的自動配對； 2
  18. After obtaining correct projective depths, we decompose the measurement matrix into camera motion in projective space and projective reconstruction by svd

    在獲得正確的射影深度后，通過奇異值分解將測量矩陣分解為射影空間下的攝像機運動和物體三維幾何形狀（射影重構） 。
  19. This paper researches and discusses the theory of latent semantic index, include the theory of single value decompose and word - document matrix. in this paper the author discusses the application of latent semantic index in chinese document clustering based on latent semantic index, researches and discusses vector space model, latent semantic index, electronic dictionary, word - splitting and the algorithm of k - means. this paper presents a improved structure of electronic dictionary and a improved algorithm of word - spliting

    本文對潛在語義索引模型進行系統的研究和探討，包括奇異值分解等相關矩陣理論、詞-文檔矩陣等；同時本文研究和探討了潛在語義索引模型在中文文本聚類中的具體應用和實現，包括文本間相似度的度量、詞-文檔矩陣、奇異值分解的具體實現；同時本文對中文文本聚類所涉及的其他一些中文處理技術，包括向量空間模型、電子字典、切詞、 k - means聚類演算法等也進行了研究和探討。
  20. This method not only can deal with the problem of singularity, but can simplify the numerical process of interpolation function, based on the principle of minimum total potential energy, the formulas of pim are arrived

    固定節點法不但可以方便地消除系數矩陣奇異問題，而且插值過程很簡單。由勢能最小原理，推導了點插值方法的控制方程。
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