singular value decomposition svd 中文意思是什麼

singular value decomposition svd 解釋
奇異值分解
  • singular : adj 1 唯一的，獨一的，單獨的，一人的，一個的；【法律】各自的，各個的；【邏輯學】單稱的；【語法】...
  • value : n 1 價值；重要性；益處。2 估價，評價。3 價格，所值；交換力。4 （郵票的）面值。5 等值；值得花的代...
  • decomposition : n. 1. 分解，分析，溶解，還原（作用）。2. 腐朽，解體。
  • svd : SVD ＝swine vesicular disease 【獸醫】豬水皰病。
  1. The advent of the internet and the wide availability ofcomputers, scanners and printers make digital data acquisition, exchange and transmission a simple task. however, making digital data accessible to others through networks also creates opportunities for malicious parties to make salable copies of copyrighted content without permission of the content owner. digital watermarking is likely to be a potential solution to this problem. digital watermarking has been proposed as a solution to the problem of copyright protection of multimedia documents in networked environments. it makes possible to embed a watermark ( such as identification data, serials number, text or image etc. ) to multimedia documents allowing copyright protection, secret communication, document authentication and so on. in this paper, we present a new digital image watermarking method based on svd ( singular value decomposition ), and then give some theoretical analysis about the algorithm. extensive experimental results show that this method is much more robust than other methods presented before

    隨著計算機和網路技術的飛速發展，數字圖像、音頻和視頻產品愈來愈需要一種有效的版權保護方法，另外通信系統在網路環境下的信息安全問題也日益顯露出來.數字圖像水印技術為上述問題提供了一個潛在的解決方案.所謂水印技術就是將數字、序列號、文字、圖像標志等版權信息嵌入到多媒體數據中，以起到版權保護、秘密通信、數據文件的真偽鑒別和產品標志等作用.本文提出了一種新的基於奇異值分解的數字水印演算法並且對該方法的理論基礎給出分析.實驗結果表明這種方法要比目前提出的流行演算法魯棒
  2. The final results obtained in this paper contained that the optimal interpolation scheme highlighted by the covariance that the correlation between different time and the correlation between different place being considered ; that the simplification of kalman filter with the singular - value decomposition ( svd ) and the direct construction of state transition matrix pfeceded with " inverse vector expression " ; and that the analysis of t / p data and its blending with theoretical model

    這些成果包括：建立考慮了時間相關的方差矩陣和時空相關的最優插值演算法；對卡爾曼濾波演算法進行了svd簡化以及建立了顯式的狀態轉移矩陣；將t p實時衛星數據進行調和分析並與數值模型進行同化處理。
  3. The current trends of this field is to acquire the current density of dipole distribution rather than a few dipoles. based upon that, a new model was proposed - dipole layer localization method ( dllm ) : spherical dipole layer was used as source model, on which dipoles were distributed by equilateral triangles ; three concentric inhomogeneous sphere was used as head model, which contains scalp, skull and cortex with different conductance. the dipole distribution and scalp potential tomography were obtained with singular value decomposition ( svd )

    鑒于該領域的研究趨勢已從求取少數偶極子過渡到偶極子分佈密度的獲得，本文提出了新的模型? ?偶極面定位方法（ dipolelayerlocalizationmethod ， dllm ） ：以等邊三角形均勻分佈的偶極子構成的偶極面（球面）作為源模型；包括頭皮、顱骨和皮層的三層同心介質球作為頭顱模型，運用奇異值分解來求解逆問題，從而獲得偶極子分佈和頭皮電位分佈，實現三維成像。
  4. 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。
  5. Some linear approaches reported recently without postprocessing to fir system identification are discussed. this paper improves the question of the promulgation of error due to estimating middle parameter frequently in other related methods, and presents a direct algorithm of estimating parameter without estimating middle coefficient. through proper mathematic means, for example, singular value decomposition ( svd ) or total - least squares solution ( tls ), this algorithm smoothes the noise and improves effectively the estimation performance

    和2階統計量相比，高階統計量不僅能夠有效抑制高斯有色噪聲的影響，而且能夠揭示隨機過程的相位特性，因此，高階統計量是解決非高斯、非最小相位、非因果系統和有色高斯噪聲環境的系統辨識和處理問題的重要分析工具。
  6. Gram - schmidt method for zernike polynomials fit and singular value decomposition ( svd ) are concerned. the direction question for zernike polynomials fit is discussed and the surface error in the normal direction is deduced. to solve - the coupling and mixture of zernike polynomials fit method, rigid - body displacement is removed with coordinate transformation and then fitted with zernike polynomials

    介紹了zernike擬合的gram - schmidt以及奇異值分解兩種方法；論述了zernike擬合時的方向問題，計算了法線方向的面形誤差；針對zernike擬合時的藕合與混淆，採用先用齊次坐標變換去除剛體位移，再用奇異值分解進行zernike擬合。
  7. Firstly, unlike the factorization - based methods that minimize the svd ( singular value decomposition ) re - projection error, the method uses the minimization of mean 2d re - projection error of projective points as a criterion, therefore it has a clearer physical meaning and enhances the accuracy of projective reconstruction results

    該方法以全局性極小化射影三維空間點的二維反投影誤差平方和為準則，相對于縮小svd反投影誤差的方法，具有更為明確合理的物理意義。
  8. The sensitivity matrix was then decomposed by singular value decomposition ( svd ) method, and the relationship between the surface geometric errors and the uncertainty parameters was formulated

    採用矩陣的奇異值分解原理，對曲面最佳適配的靈敏度矩陣進行分解，得到不確定度參數與測點隨機誤差的關系表達式。
  9. First of all, d - h matrix is used to construct a kinematics model and a geometric parameter identification model for the robot, singular value decomposition ( svd ) for jacobian matrix is given, and elementary row operations are applied to the last 5 rows of the matrix to find the geometric parameters to be compensated

    首先，使用d - h矩陣對機器人建立了運動學模型和幾何參數識別模型，對雅可比矩陣進行奇異值分解並對分解后的正交陣的最後5行進行初等行變換，以確定需要補償的幾何參數。
  10. Emg is also assessed with recurrence plot analysis ( rpa ), recurrence quantity analysis ( rqa ), iterated function system ( ips ) dumpiness test, singular - value decomposition ( svd ), and false nearest neighbors ( ffn )

    我們還應用重現圖形分析、重現定量分析、迭代函數系統成塊檢測、奇異值分解分析、虛假最小近鄰等方法對肌電信號進行了分析。
  11. Lsa is similar to vector space mode ( vsm ), representing textual materials with space vectors. lsa can advance the accuracy of subsequent processes by using a truncated singular value decomposition ( svd ) to remove the influences of synonymy

    在技術上，它同向量空間模型類型類似，都是採用空間向量表示文本，但通過svd分解等處理，消除了同義詞、多義詞的影響，提高了后續處理的精度。
  12. Singular value decomposition ( svd ) analysis shows significant correlation exists between pacific ssta pattern similar to peak - mature phase of el nino event and remote response pattern of pna and wp in 500 hpa geopotential height, which is further confirmed by svd analysis between ssta and 850 hpa wind fields

    太平洋ssta與大氣500hpa高度場異常的svd分析表明，太平洋海溫狀況與pna以及wp遙相關型存在密切的相關，而850hpa風場與太平洋ssta的svd分析進一步反映了海溫異常與大氣遙相關間的聯系。
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