scaling matrix 中文意思是什麼

scaling matrix 解釋
放縮矩陣
  • scaling : n. 1. 起皮;去銹。2. 結成水垢。n. 1. 〈古語〉攀登;升高。2. 測量;推列;繪制。3. 【電學】定標;電子法計算電脈沖。
  • matrix : n (pl matrices 或matrixes)1 【解剖學】子宮;母體;發源地,策源地,搖籃;【生物學】襯質細胞;間...
  1. Biorthogonality of multidimensional periodic scaling function with arbitrary dilation matrix

    具有一般伸縮矩陣高維周期尺度函數的雙正交性
  2. Growth factor methods : these involve scaling an existing matrix by applying multiplicative factors ( often derived from predicted productions and / or attractions ) to matrix cells

    增長率法:通過對現有的矩陣(通常來源於預測的發生集中)乘以系數。
  3. We use a scaling matrix which make the algorithm generate sequences of point in trust region and the interior of the feasible set. because of the boundedness of the trust region, trust region algorithm can use non - convex approximate models

    構造合理的仿射變換矩陣,在投影空間構造信賴域子問題,產生迭代方向,使迭代點既保持在信賴域內,又是嚴格可行域的內點。
  4. Using the conic function model local approximation, w. cdavidon ( 1980 ) proposed a class of iterative algorithms with modified matrix combining function value, furthermore under the theory d. c. sorensen has used local quadratic approximation method, then applying collinear scaling idea improving on the above algorithm and generalizing it, getting a class of collinear scaling algorithm, unifying former quasi - newton. in the paper, using local quadratic approximation method, the first, constructing the new collinear scaling gene, getting a class of the new collinear scaling algorithm with briefness and numerical stability, ., we discusses some properties of the algorithm and its local linear convergence, q - superlinear convergence and the whole convergence ; secondly we have made numerical experimentation and numerical analysis ; the last, we have done much discussion for collinear scaling idea and given the several new collinear scaling algorithm

    本文的工作就是基於局部二次逼近原理,首先通過構造新的共線調比因子,得到了一類新的更簡潔,數值穩定性更好的共線調比演算法,進而我們給出了本共線調比演算法的局部收斂性,全局收斂性以及演算法q -超線性速度的理論證明;其次,用經典的無約束優化五大考核函數就本共線調比演算法進行了數值試驗和數值分析;最後,就局部二次逼近思想,進行共線調比演算法思想進行更廣泛的討論,給出了幾個新共線調比演算法。
  5. The condition number, defined below, is changed by scaling the matrix.

    調整矩陣的比例就改變了下面定義的條件數。
  6. Chapter 2 analyzes parallel process technology ' s actuality, the requirement of real - time process, and mostly guidelines of parallel process performance. chapter 3 discusses imaging algorithm - - - - - - chirp scaling algorithm theory as well as realization of ideal point target ; and then discuss the scalar of data and operation. chapter 4 discuss the fft and distributed matrix transposing, mostly about ( 1 ) discussed how to realize parallel fft, and evaluate the preformance of parallel fft ; ( 2 ) discuss another step ' s - - - - - - matrix transposing - - - - - - realization can divided into three steps : distributing, renewedly distributing and local transposing of matrix, and then discuss the time of process in detail

    第四章分別研究了cs演算法中的fft變換和分散式矩陣的轉置問題,主要有: ( 1 )對cs演算法中運算量最大的步驟fft變換進行了并行性的提取,並對并行fft變換的演算法性能進行了評估; ( 2 )分析並研究了cs演算法中另一不可或缺的步驟? ?矩陣轉置問題,提出矩陣分佈、重新分佈和局部轉置來實現矩陣轉置的并行化,並詳細分析了矩陣轉置的時間耗費問題。
  7. Then choosing suitable transform matrix, and applying tst to it, the satisfactory approximation order of the multi - scaling vector was achieved

    選擇適當的變換矩陣,對尺度向量進行雙尺度相似變換,可以使其具有滿意的逼近階。
  8. The multiscaling functions of a mra satisfy a matrix refinable equation : , and the multiwavelets satisfy :. multiscaling functions and multiwavelets naturally generalize the scalar scaling functions and scalar wavelets

    Mra的多尺度函數滿足矩陣細分方程: ,多小波函數滿足: ,多尺度函數和多小波函數是傳統標量尺度函數和小波函數的自然推廣。
  9. The configuration of complementary judgement matrix and methods of solving it were studied. complementary judgement matrix was configured and its scaling rules were given on the basis of the concept of “ cheng ”, which is the chinese word for tenth. a method of solving such a type of judgement matrix was deduced by comparing it with reciprocal judgement matrix. after comparing the results of these two types, an improved version of complementary judgement matrix was obtained with certain modification of the scaling rules mentioned above. complementary judgement matrix is compatible with chinese language to a great degree, and its solutions are corresponding to reciprocal judgement matrix ' s. moreover, the improved scaling rules bring it an evident merit that it can achieve better accuracy in all conditions

    研究互補型判斷矩陣的構成及求解方法.根據「成」的概念,給出互補型判斷矩陣的構成和標度;通過與互反型判斷矩陣對比,得出了互補型判斷矩陣的求解方法;在對二者所得結果分析優劣的基礎上,進一步修改標度,獲得了一種改進的互補型判斷矩陣.互補型判斷矩陣符合我國的語言習慣,其求解方法與互反型的是對應的.而標度改進后,更有在各種情況下均可獲得較高判斷精度的優點
  10. The fast dct algorithm not only can reduce the multiplication number, but also can combine the post - scaling and matrix transpose needed for fast dct with the quantization and scan processes, so as to speed up the whole mpeg encoder. in addition, the table - lookup fast quantization algorithm can further speed up the encoding process

    本章提出的快速dct演算法不僅減少了所需乘法的次數,而且變換后的後置乘法和矩陣轉置過程可與量化和掃描相結合,進一步加速浙江大學博士學位論文整個mpeg編碼過程。
  11. Abstract : in this paper, the factorization of scaling vector filters into prime factors is considered. a construction of bi - orthogonal wavelet matrix with pre - asigned scaling filter is given

    文摘:本文研究尺度濾波器的基本分解問題.基於所得結果,對于任意給定的尺度濾波器,給出了雙正交小波矩陣的構造方案
  12. This method prepends the scaling matrix to the transform

    該方法預先計算對變換的縮放矩陣。
  13. This method prepends the scaling matrix to the transformation

    此方法將縮放矩陣添加到變換前。
  14. By the scaling matrix

    的變換矩陣左乘縮放矩陣。
  15. The object satisfied orthogonal condition, by introducing the proper scaling matrix. after verification of the pre - condition, the controller was designed, using the resolving method of state feedback standard control problem based on riccati inequality

    並通過引入適當的標定矩陣的方法,使被控對象滿足正交條件,在驗證前提條件之後,採用基於riccati不等式的狀態反饋h ~標準控制問題的解法進行控制器設計。
  16. Scales that matrix by a factor of 3 in the x direction and a factor of 1 in the y direction by appending the scaling transformation with the

    成員的縮放變換,縮放該矩陣, x方向的比例因子為3 , y方向的比例因子為1 。
  17. Scales that matrix by a factor of 3 in the x direction and a factor of 1 in the y direction by prepending the scaling transformation

    通過在前面添加縮放變換,縮放該矩陣, x方向的比例因子為3 , y方向的比例因子為1 。
  18. You can apply linear transformations rotation, scaling, and the like to color vectors by multiplying the color vectors by a 44 matrix

    可通過用44矩陣乘以這些顏色矢量將線性變換(旋轉和縮放等)應用到顏色矢量中。
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