奇異變換 的英文怎麼說

中文拼音 [jīyìbiànhuàn]
奇異變換 英文
singular transformation
  • 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;...
  • 換 : 動詞1. （給人東西同時從他那裡取得別的東西） exchange; barter; trade 2. （變換; 更換） change 3. （兌換） exchange; cash
  • 奇異 : 1. （奇怪） queer; strange; bizarre; odd 2. （驚異） surprising; curious
  1. The time - scale amplitude plot and phase plot based on hermitian wavelet transform are presented to singularity detection of signal. the corresponding relation relation between singularity and amplitude plot or phase plot is created. as successful application, fault of axletree damnify is found by means of this method

    提出了基於hermitian小波變換的時間?尺度幅圖和相圖來識別信號奇異性的方法，建立了信號奇異點與幅圖和相圖的對應關系，在軸承損傷故障診斷中取得了成功的應用。
  2. If the wavelet transform is directly implemented in pitch detection, comparing the glottal closure singularity of speech signal with image grey break, we will not obtain the anticipative result

    將聲門閉合在語音信號中表現出相應的奇異性，與圖像邊緣的灰階突變進行等價對比，直接將小波變換用於聲門閉合奇異型的檢測，並不會得到預期效果。
  3. In the first part of the paper, the development of motor control system fault diagnosis theory is summarized. on the basis of the analysis of the characteristics of wavelet, the theory is discussed and the definition of the singularity is given. because of the localization property of wavelet transform, wavelet analysis can be used to detect the characteristics of the singularity from the signal and intermittence fault problems lying in the motor under test

    著重介紹了小波分析在電機控制系統故障診斷中的應用，根據小波理論在時域和頻域良好的局部化性質，討論了利用小波變換來檢測信號的奇異特徵的原理，給出了小波變換對信號奇異性特徵檢測的方法，針對實際應用，對小波基函數選取及小波分解尺度進行了探討。
  4. Digital image watermarking algorithm based on dwt and svd

    基於小波變換和奇異值分解的數字水印演算法
  5. Watermarking algorithm for digital image based on dct and svd

    一種基於離散餘弦變換和奇異值分解的數字水印演算法
  6. On the basis of algorithm analysis, from aspects of detecting principle, detecting steps and computer emulation, the authors expatiate how to use wavelet transform to detect backscatter signals ' time difference and find the fantastic point of backscatter signal ( the time point when backscatter signal reaches ), finally to find the location of the object being detected

    在演算法分析基礎上，從檢則原理、檢測步驟、計算機模擬方面闡述如何利用小波變換檢測回波信號時差，以確定回波信號的奇異點（回波信號到達時間點） ，進而確定被探測目標的位置。
  7. Discussion of the data compression method based on singular value decomposition

    基於奇異值分解變換的數據壓縮方法探討
  8. The ridgelet transform [ 3 ] was introduced as a sparse expansion for functions on continuous spaces that are smooth away from discontinuities along lines

    脊波變換（上標[ 3 ] ）對連續空間中沿直線奇異的函數能夠進行稀疏表達。
  9. Based on the idea of wavelet transform, this paper malnly studies the application of wavelat in de - noising and singuldrity detection, which aims at the practical problems in the combinaion station

    本文從小波變換的思想出發，針對聯合站信號處理中的實際問題，主要就小波分析在信號去噪和奇異性檢測中的應用進行研究分析。
  10. In the traditional wavelet transform, because the wavelet filter and coefficient is fixed, as a result, when the discontinuous signal is analyzed, it will produce a lot of big wavelet coefficients in the transition, which makes against the compression. in the image processing, some image is roughness, and it may has sharp edges and oddity parts

    由於傳統小波變換的濾波器長度和系數是固定不變的，不能適應輸入信號而變化，這使得在分析非連續信號時，在躍變點兩側會產生大的小波系數;對具有尖銳邊緣、分段光滑或奇異點、圖文混合圖像處理效果很差。
  11. We turned the singular boundary value problems to nonsingular problems, and presented a numerical method for them

    通過變換將奇異邊值問題轉化為非奇異邊值問題，提供了求解這類奇異邊值問題部分數值解的數值求解方法。
  12. The main job of this research is : ( 1 ) analyze the operation situation of power system during faults ; pay attention to the traveling wave on the three - phase transmission line ; study the equation of voltage on three - phase transmission line with impedance capacitance coupling between phases ; contact the voltage on any point with the fault voltage, study the singularity of the voltage signal in fault point, and make it to be the base of the new fault detection method ; ( 2 ) apply the singularity detection theory based on wavelet analysis to the power system faults detection, give a complementary criterion to current fault detection criterion, study how to select the basic wavelet, how to filter noise, how to detect the singular point or fault point, and finally give a total solution. the simulations prove it to be a quick, correct and effective fault detection method

    本文的主要工作有： （ 1 ）分析電力系統在發生故障時的運行狀態，尤其對三相傳輸線上的故障行波進行了分析和研究，推導了考慮相間耦合的三相傳輸線電壓方程，並將傳輸線上任一點的電壓與故障點電壓建立起聯系，得出了傳輸線上電壓信號在故障點處的奇異性，並以此作為構造新的故障檢測演算法的理論基礎； （ 2 ）將基於小波變換的信號奇異性檢測理論運用於電力系統故障檢測中，針對目前相關研究的不足，提出了電力系統故障檢測判據的補充判據，通過對基本小波的選擇、除噪措施、信號奇異點也即故障點的檢測方法所作的分析，給出了一個可行的解決方案；模擬研究表明：這是一個快速、準確、有效的故障檢測演算法。
  13. 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。
  14. Chapter 5 introduces sampling - holding device principle, types and main performance parameters. we discussed the relationship between the sampling and the s - h device. chapter 6 discussed the pre - processing of sampling data including the scale transforming, digital filtering, reducing oddity and eliminating or pick - up tread item as well as smoothing process of the sampling data

    在第6章，對采樣數據的預處理進行討論，包括采樣數據的標度變換、采樣數據的數字濾波、剔除采樣數據中的奇異項、去除或提取采樣數據的趨勢項、采樣數據的平滑處理等數據處理方法。
  15. In the first chapter, we obtained weighted norm inequality on the commutators, by proving a variant of sharp function estimates ; j. orobitg and c. perez introduced ap weights for nondoubing measures and proved weighted norm inequality of c - z singular integrals. in the second chapter, we obtained weighted inequalities of fractional integral and its maximal function with ap ( u ) weights for nondoubing measure ; e. sawyer obtained a weak type double weights inequality for fractional integrals in [ 13 ]. in the third chapter, we generalized the sawyer ' s result for non - doubling measures

    本文第一章通過證明一個變形的sharp估計，從而得到奇異積分交換子的加權有界性； j . orobitg和c . p rez在文[ 10 ]中引入了非倍測度的a _ p權理論並證明了c - z奇異積分的加權有界性，本文第二章得到了分數次積分運算元和分數次極大函數在非倍測度下a _ p （ ）權的加權估計； e . sawyer在文[ 13 ]中得到了分數次積分的一個雙權弱型不等式，本文第三章把e . sawyer的結果推廣到非倍測度的情形。
  16. Using the theory of conformal transformation, the planar figures of the workspaces are mapped. on the study of the spherical 3 - dof serial mechanism workspaces, we can give the reachable workspace, the atlases of reachable workspaces, the mobile workspace and the atlases of mobile workspace of the spherical 3 - dof parallel mechanism which given geometric parameters. from these atlases, we can see that the mechanical function is better when 1, 2 was given and 1, 2 tend 90

    再次對球面機構的性能進行研究，利用保角變換理論將球面機構工作空間在平面中表示，在分析串聯球面機構可達工作空間的基礎上，得出給定機構參數的並聯球面機構的可達工作空間和可達工作空間面積性能圖譜，得出對應于不同靈活度的靈巧工作空間和靈巧工作空間面積性能圖譜，結論表明，在給定機構參數_ 1 ， _ 2的情況下， _ 1 ， _ 2越是靠近90 ，其可達工作空間和靈巧工作空間面積越大；利用雅可比矩陣對機構進行奇異位形分析，得出幾種特定機構參數的奇異位形。
  17. On the basis of extensive reading and research of theory of the wavelet, it is presented a practical method based on odd theory of wavelet analysis to remove the white noises from transient fault current traveling waves of high voltage transmission line via multi - size analysis of wavelet

    本文在廣泛閱讀和深入研究小波理論的基礎上，論文提出了一種基於小波分析的奇異性理論對通過小波多尺度變換的高壓輸電線路故障電流暫態行波信號進行白噪聲濾除的實用方法。
  18. According to the structures of jacobian matrixes of kinematics, statics and dynamics, the relationships among kinematic singularity, static singularity and dynamic singularity are explored on the parallel manipulators similar with stewart platform. it is found that the three kinds of singularities occur simultaneously

    根據運動學、靜力學和動力學的三種jacobian變換矩陣結構，研究了類stewart平臺結構的並聯機器人運動奇異性、靜力奇異性和動力奇異性三者之間的關系，得出了三種奇異性同時發生的結論。
  19. The original system with both input and state time delays was first rewritten into a form without any time delays by a nonsingular linear transformation

    為了簡化變結構控制器的設計，首先通過非奇異線性變換將含狀態時滯和輸入時滯的線性系統化為無時滯系統。
  20. We propose an algorithm of recovering euclidean reconstruction from projective reconstruction if the camera intrinsic parameters are known. first solving a non - singular matrix which satisfies euclidean reconstruction conditions and then we convert the projective reconstruction to euclidean reconstruction by the matrix

    在攝像機內參數己知的情況下，提出一種從射影重構恢復歐氏重構的演算法，先求解一個滿足歐氏重構條件的非奇異矩陣，然後通過此矩陣將射影重構變換為歐氏重構。
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