本徵矢量 的英文怎麼說

中文拼音 [běnzhǐshǐliáng]
本徵矢量 英文
eienvector
  • 本 : i 名詞1 （草木的莖或根）stem or root of plants 2 （事物的根源）foundation; origin; basis 3 （本錢...
  • 徵 : 名詞[音樂] （古代五音之一 相當于簡譜的「5」） a note of the ancient chinese five tone scale corre...
  • 矢 : Ⅰ名詞1. （箭） arrow 2. （尿） excrement; dung; feces 3. （姓氏） a surname Ⅱ動詞（發誓） vow; swear
  • 量 : 量動1. （度量） measure 2. （估量） estimate; size up
  1. The paper presents several aspects in partition rectification and visualization of raster image. adopt technology of visualization for scientific calculation, vector diagram of deformation 、 contour chart of deformation and drawing of three - dimensional are realized. delaunay tin in view of deformation feature is constructed on base of selected grid control points and methods and mathematical models for partition rectification are realized based on the delaunay tin. software of geometric rectification for large scales are realized and applied in project

    本論文針對柵格影像的變形可視化及分塊糾正展開研究，取得了以下幾方面的研究成果：一、採用科學計算可視化技術，繪制變形矢量圖、變形等值線圖和三維效果圖，實現了柵格影像變形特徵的可視化；二、提出了在格網控制點（ gcp ）數據基礎上選擇性構造顧及變形特徵的delaunay三角網，並基於構造的三角網實現了分塊糾正的方法和數學模型；三、採用vc編制了影像幾何糾正軟體，實現大比例尺掃描地形圖的糾正，並在工程中得到應用。
  2. In chapter 4, a simulation approach is presented, which combines the outdoor radio propagation model, the eigen - driven patterns of handset diversity antenna with two feed ports and combining schemes of receiving signals, to investigate the performance of a dual antenna handset under co - channel interference ( cci ) and multi - path fading environment

    第四章首先用本徵激勵方向圖的概念來產生手機雙埠分集天線的接收信號矢量，然後將其與城市室外電波傳播模型、分集合併方式相結合，建立了分析在具有共道干擾和多徑衰落環境中手機雙天線系統的性能模型。
  3. ( 4 ) the correlations are significant between the sth position index and the general circulation. in the westerly ( easterly ) year, equatorial westerly is weaker ( stronger ), cross - equatorial flow is weaker ( stronger ), south china sea summer monsoon is weaker ( stronger ), the yangtze river valley westerly is stronger ( weaker ), which has the positive ( negative ) effect on the maintenance of rain band over the yangtze river valley, so the rainfall is more ( less ) in this area and it is hit by floods ( droughts ), vice versa

    （ 4 ）本文運用定義的副高指數研究了六月份副高偏東偏西年份的大型環流特徵及其對我國東部天氣的影響，風矢量場和相關場分析結果表明：副高偏西（東）年，赤道西風減弱（增強） ，越赤道氣流偏弱（增強） ，南海夏季風偏弱（強） ，而長江流域西風增強（減弱） ，有（不）利於雨帶在江淮流域維持，該地區降水偏多（少）易澇（旱） 。
  4. Dsps is used to accurately detect the moving area of multi - moving objects and information of their geometrical position in the system, at the same time, it pick up the parameters of geometrical feature, gray feature and planar velocity of each area, at last, we integrate the techniques of multi - moving objects detection and construct a self - adapted system to track multi - moving objects. the camera is controlled to keep the object in its field of view. therefore we achieve a real time system to track the multi - moving objects in the complex scenes

    本系統利用dsps精確檢測出多運動目標的運動區域及其幾何位置信息，並對各個運動區域進行幾何特徵參數、灰度特徵參數和運動速度參數的提取，最後根據這些特徵參數值結合多目標運動狀態檢測技術構建了多運動目標自適應跟蹤系統，並根據已經計算出的運動目標的速度矢量，通過雲臺裝置控制攝像頭的轉動，使得特定運動目標始終位於攝像機的視野中，從而完成對復雜背景中多個運動目標中特定目標的實時跟蹤。
  5. One significance of the eigenvectors is seen to be that they determine the values of the state variables in a characteristic mode.

    本徵矢量的重要意義之一是，它們決定了在一定模態中狀態變量的相對值。
  6. In general, it can be classified into speaker identification and speaker verification according to decision modes. this thesis focuses attention on research of text - independent speaker recognition technology based on vector quantization. lbg algorithm is one of the common and important methods used in speaker recognition

    在說話人識別方面，由於矢量量化技術可以有效地提取說話人的個性特徵，矢量量化碼本可以在最佳意義上代表說話人特徵矢量空間中的所有矢量，因而矢量量化碼本可作為說話人有效的識別模型，而模型建立的關鍵問題是獲得高質量的碼本。
  7. Conditions of normal mode realization are deduced and optimized model with the multivariate mode indicator function as the target function is built. through solving the maximal eigenvalue problem, the original shaker force vector of appropriation is reached. then the realization approach of the optimal shaker force vector based on single shape principle is proposed and at the same time the automatization of normal mode appropriation is realized

    對于模態物理分離技術的多點正弦激振純模態試驗技術，尋求其最佳激振力矢量是最為關鍵的環節，本文先推導出純模態實現的條件，建立以多變量模態指示函數為目標函數的優化模型，通過求解最大特徵值問題，得出適調純模態的初始激振力矢量，再提出以單純形原理為基礎的最佳激振力矢量的實現方法，同時也實現了純模態適調過程的自動化。
  8. An algorithm for detecting moving ir point target in complex background is proposed, which is based on the reverse phase feature of neighborhood ( rpfn ) of target in difference between neighbor frame images that two positions of the target in the difference image are near and the gray values of them are close to in absolute value but with inverse sign. firstly, pairs of points with rpfn are detected in the difference image between neighbor frame images, with which a virtual vector graph is made, and then the moving point target can be detected by the vectors ' sequence cumulated in vector graphs. in addition, a theorem for the convergence of detection of target contrail by this algorithm is given and proved so as to afford a solid guarantee for practical applications of the algorithm proposed in this paper. finally, some simulation results with 1000 frames from 10 typical images in complex background show that moving point targets with snr not lower than 1. 5 can be detected effectively

    基於運動點目標在鄰幀差分圖像中所具有的近鄰反相特徵，即運動點目標的兩個位置相鄰近、灰度值一正一負，提出一種在復雜背景下，基於紅外序列圖像的運動點目標檢測演算法.本演算法利用該特徵在鄰幀差分圖像中檢測反相點對，進而構造反相點對矢量圖，最後依據累積反相點對矢量圖中多矢量首位相接的連續性檢測出運動的點目標.文中給出並證明應用本演算法能以概率1檢測到運動點目標的收斂性定理.對典型復雜背景下10幅1000幀圖像的模擬結果表明，當信噪比大於或等於1 . 5時，可以有效檢測出運動點目標
  9. In the basis of present technology, we provide our method. with our method, we first extract several low visual feature of the image, such as color, texture etc, and then we fuze the feature into a high dimensional vector ; sencond, we analyze the vector with pca method, which reduce the dimension of the vector ; and last we use the vector to classify the image

    該方法的基本思路描述如下：首先，提取圖像的多種視覺特徵（如：顏色、紋理等） ，經融合得到一個高維矢量描述；然後，對該高維矢量描述作pca （ principalcomponentsanalysis ）分析，以獲取其中的主元，降低維數；最後，以降維后的矢量描述為基礎，用於圖片的分類系統。
  10. The system firstly learns the domain training samples by using thesaurus to process word - separation and word - frequency statistics. according to word - frequency distribution, it chooses the feature collection and their weights to formulate feature vector and generate domain model and user model

    系統首先對領域訓練樣本進行學習，利用領域詞典對訓練文本進行詞條切分和詞頻統計，並根據詞頻分佈，提取代表採集目標的特徵項集和相應的權重，生成特徵矢量，形成初始領域模型和用戶模型。
  11. The input and output state vectors are defined, which are a 6 1 column vector including motion types, the magnitude and spatial orientation, respectively. the state matrices ( sms ) can be deduced by vectors operation, that is, the output state vectors multiplied by the input state vectors

    其中，前者按照輸入輸出端的不同運動類型、速度矢量的大小及方向特徵，以6維矢量形式表示；而後者作為輸入、輸出特徵矢量之間的紐帶，描述了基本變換單元的功能與特徵。
  12. By projecting feature vector to every class subspace, the character can be determined to one class in accordance with the projecting length. this is the difference between subspace method and other statistic methods

    在分類決策時，將樣本特徵矢量向各類別子空間投影，由投影長度判別樣本歸屬，這也是子空間方法與其它統計模式識別方法的不同之處。
  13. In the phase of training, it gets the sampling data from the wave files which were stored in the voice library by using the mci functions. then calculates the character vector ( 12 ranks of lpc and lpcc ) and trains them by clustering method, so we get the templates used by speech - recognition, this templates were stored in the template library. in the state of recognition, after calculating the character vector of input voice, we compare it with the character vectors of templates, and then find the best one or refuse it

    系統的組成模塊與語音識別系統的基本構成模型基本一致，在訓練過程中，通過調用mci （ mcimultimediacontrolinterface ）提供的函數從語音庫中的波形文件中讀取采樣數據，分幀計算出由12維線性預測系數和12維線性預測倒譜系數構成的特徵矢量，並按照聚類的方法進行訓練，得到后續語音識別時需要的模板，存放于模板庫中。
  14. is the eigenvector corresponding to, and y(t)= is the associated eigenfunction.

    即為對應于的本徵矢量，而y（t）為相應的本徵矢量。
  15. As a result, the concept of state space for conceptual design of mechanical system is presented, which is new to the literature, based on the set of all state vectors. meanwhile, the properties of state vectors, which are vectors addition, constant multiplying, reversible driving, zero vectors, are discussed in state space. secondly, the dual - vector is introduced to descript the essential relation among the input and output characteristic vectors as well as sms

    按照狀態空間中對偶特徵矢量的運算規則，在已知系統的輸入輸出特徵矢量的情況下，通過數學推導求解，將形成的系統狀態變換矩陣分解為多個狀態變換矩陣的乘積，再通過各狀態變換矩陣到數據庫中尋找相應的基本變換單元集合，然後進行按序組合，進而從理論上獲得相應的方案設計可行解。
  16. Aimed at static image retrieval based on color, a multimedia image database which included three layers was designed and the search algorithm of the correlation and polymerization histogram was used in the article. to show color characteristic of image, the method of the hsb ( hue, saturation, brightness ) color space, which is suitable to the visual characteristic of human, is utilized. taking advance of human ' s feeling to color, it quantifies color sector with unequal interval, and get characteristic vector

    針對基於顏色的靜態圖像檢索，本文設計了一個三層的多媒體圖像數據庫，選用基於相關聚合直方圖的演算法，採用符合人類視覺特徵的hsb顏色空間來表示圖像的顏色特徵，利用人對顏色的感知來對顏色分量進行非等間隔的量化並形成特徵矢量，用距離度量函數進行圖像的相似性匹配。
  17. To support data mining in case bases, the thesis proposes a case representation based on traditional object - oriented representation. a case is represented by a weighted feather vector

    為了支持對案例庫的挖掘，本文在面向對象的案例表示的基礎上，提出了一種基於加權特徵矢量的案例表示方法。
  18. In this article, vectors are composed of mean gray level of image and texture features in detail images of 2d - wavelet transform without down - sampling. distances between each two objects " vectors are much larger than that of seisuke fukuda ' s

    本文首次利用圖像灰度均值與無下采樣小波變換細節圖像紋理能量組成特徵矢量，使目標間紋理特徵的差異比seisukefukuda等方法所得更明顯。
  19. In this article, the genetic algorithm optimizes a feature vector by removing both irrelevant and redundant features and finds optimal ones

    本文中基因演演算法可移去不相關或多餘之特徵值以得到最佳化特徵矢量。
  20. Chapter four introduces the basic theories of continue hidden markov models ( chmm ). the new method of faults diagnosis based mixture density chmms directly by the vibration ar coefficients vectors of rotating machine is proposed, and then the dynamic patterns presented in run - up process of rotor machine are successfully recognized. at last compares the two faults diagnosis methods of dhmm and chmm, and points out the advantages and disadvantages of the two methods

    第四章：在連續隱markov模型（ chmm ）的基本理論基礎上，提出了直接利用振動信號ar系數特徵矢量序列建立混合密度chmm的故障診斷新方法，並對轉子升速過程的振動模式進行了成功的識別；對dhmm和chmm故障診斷方法進行了對比分析，指出dhmm方法具有演算法穩定、計算速度快、識別精度高等特點，對于chmm方法只要通過合理選擇特徵參數也能得到高的識別精度。
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