特徵變換 的英文怎麼說

中文拼音 [tèzhǐbiànhuàn]
特徵變換 英文
eigentransformation
  • 特 : Ⅰ形容詞（特殊; 超出一般） particular; special; exceptional; unusual Ⅱ副詞1 （特別） especially; v...
  • 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...
  • 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
  • 特徵 : characteristic; feature; properties; aspect; trait
  1. Compared with aitken extrapolation, eigenvalues - based algorithm bypass aitken transform and perform more effectively than aitken extrapolation algorithm theoretically in the process of iterating hyperlink - based markov matrix

    與aitkenextrapolation演算法相比，基於特徵值求解的演算法不藉助aitken變換，而通過特徵值直接求解馬爾可夫超鏈接矩陣的主特徵向量，從理論上比aitkenextrapolation演算法更高效。
  2. Due to nonlinear bottom boundary condition, the generation of internal tides over finite topography can only be deal with by using of ray - tracing method beforetime. the transforms introduced in this dissertation make it possible use eigenvalue method to investigate the generation of internal tides over finite topographies

    由於非線性邊界條件的使用，前人處理有限地形上內潮的產生問題只能求助於射線理論，本文提出的坐標變換將若干海底地形變換成平底，從而使得利用特徵值方法研究這些地形上的內潮生成問題成為可能。
  3. A sets of transforms are introduced in this dissertation, by using of which some kinds of topographies, such as continental slope and ridge, can be converted into flat bottom. the processing simplifies the generation of internal tides and reflection of internal waves over those kinds of topographies

    針對海洋中的一些地形，如陸架陸坡地形、海山地形、海溝地形，提出了一組坐標變換，該變換可以將這些海底地形變換成平底，從而使得在這些特徵地形上內波的傳播和內潮的產生問題得到很大的簡化。
  4. The retinal image segmentation, the feature points of blood vessel extraction, the feature correspondency, the transformation model of retinal image and the registration parameter optimizing methods are all the main facts studied in the paper

    主要研究內容包括視網膜圖像血管網路的分割、血管特徵點的提取、特徵對應性、變換模型以及參數優化等方面。
  5. Based on projective geometry, the research works about 3d invariance ' s extraction and application have been done in this thesis as following : ( 1 ) the basic theories and concepts in projective geometry are systematically summarized. it includes : the camera models of perspective imaging, projective collineation, cross ratio, a simple compare about invariance ( invariant ) among some geometry transformations, fundamental matrix, epipolar and epipolar line in epipolar geometry, and so on. ( 2 ) the calculation methods for 2d projective transformation are extended from points to multi - element, which includes points, lines, points lines and so on, to get the relationship between two projective planes

    基於射影幾何理論，論文圍繞3d不變特徵的提取和應用進行了如下的研究工作： （ 1 ）系統總結了射影幾何中的若干基礎概念，包括：透視成像的相機模型、射影對應、交比不變量、基於不同幾何變換下的不變量的簡單對比、對極幾何中的基礎矩陣、對極點、對極線等。
  6. The process of feature extraction is to transform the eradiate noise signal to different feature space and extract the feature vectors that reflect the category of the input sample. the extracted features are the input modes to the classifier

    特徵提取的過程是把輸入的船舶輻射噪聲信號變換到不同的特徵空間，提取出反映樣本的類別特性的特徵向量，並把其作為分類器的輸入模式。
  7. On character extraction, the thesis regards handwriting images as texture images, and excogitates analyzing handwriting images with ( 2, 10 ) integer - to - integer wavelet transform innovatively, that is, analyzing texture images with ( 2, 10 ) integer - to - integer wavelet transform mainly, and denoting eigenvectors of handwriting images with integer - to - integer wavelet coefficients, the thesis defines an 18 - dimension eigenvector. ( 2, 10 ) integer - to - integer wavelet transform can extract the high pass of images effectively, high pass is the details of images, and analysis of texture images is mainly for the details

    在筆跡圖像的特徵提取上，文章把筆跡圖像當作紋理圖像來看待，創新地提出用（ 2 ， 10 ）整數小波變換來分析筆跡圖像，即主要用（ 2 ， 10 ）整數小波變換分析紋理圖像，用紋理圖像的整數小波系數來表徵筆跡圖像的特徵向量，文章定義了一個18維的特徵向量。 （ 2 ， 10 ）整數小波變換能夠很好地提取圖像的高頻部分，高頻部分在圖像中表現為細節，而對紋理圖像的分析主要是對細節的分析。
  8. Using the way combining the mathematic morphology top - hat and gauss matched filtering can effectively reduce the influence of the inherent fovea and the marginal noise brought forth by the retinal camera caliber in retinal image and increase the precision of retinal image segmentation and feature point extraction

    文中提出了採用灰度數學形態學中的top - hat變換和高斯匹配濾波相結合的方法，用來有效的降低視網膜熒光圖像中固有的小窩現象及眼底照相機的口徑所引起的視網膜圖像邊界像素噪聲，極大的提高了圖像分割及特徵提取的精度。
  9. The influence of the cloud droplet spectrum character and the spectrum growth and change is considered, which does not use a cut - off value for conversion from cloud water into rain water process. in the continuous coalescence equation, the particles fall velocity difference is not moved out from the integral, but is integrated in the equation as the function of diameter d to avoid the error of using particles average fall velocity. in the new scheme, generation rate of graupel due to the collection of snow by graupel and the collection of cloud ice by graupel are included

    雲中凝結核ccn的數濃度採用超幾何函數表示；雲水向雨水的自動轉換過程採用grabowski （ 1999 ）的公式，考慮了雲滴譜的特徵和發展變化對該過程的影響，而不是採用原方案給定閾值的方法描述該過程；對連續碰並方程不再將粒子落速差作為常量提出積分號外，而是直接作為粒子直徑函數在積分號內求解，這樣處理可以迴避使用粒子群的平均落速帶來的誤差；增加了霰和雪、霰和冰晶的碰並微物理過程。
  10. Secondly, in the feature extraction stage, haar 2 - d wavelet transform is used in each band of the normalized image. the mean values and variances of the coefficients of 7 main wavelet channels are extracted as features

    該演算法通過對歸一化處理后虹膜圖像的各個小分割區域進行二維小波變換，提取出主要小波通道的小波系數均值和方差作為特徵值。
  11. As for feature - level fusion, a new algorithm based on orientation information measurement and his transform is proposed

    在特徵級融合方面，提出了一種基於方向性信息測度和ihs變換的圖像融合演算法。
  12. 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。
  13. We provided a new method that tried to transform the whole image to featured space and facilitated identification and self - elimination of disturbance according to the hue and luminosity features of eyes of human being. we gave the definition and description of the transformed space. a wavelet - texture filter was designed to distill space - transform - based feature of the image itself was executed

    根據人眼對顏色、亮度等不同的敏感性以及圖像本身的性質，仿人眼變換域分析圖像形成光學濾色鏡效果，減少復雜背景顏色和相似形狀的多重干擾，並以此定義和表徵變換域特徵空間，給出變換域小波紋理車牌特徵，成功提取車牌字元區域； 2
  14. We discussed the main characteristic parameters of seismic kinesiology and dynamics of mine engineering fracture zone, including relative amplitude, phase time of wave crest, similarity factor, principal frequency band energy, 3 - d space time gradient and coherent coefficient et al., and puts forward the processing method of 3 - d seismic characteristic parameters about denoise - smoothing, generalization, correlation analysis, characteristic transformation ; and presents the method of pattern recognition of mine engineering fracture zone

    摘要本文從時間域、頻率域、三維空間域介紹了礦山工程裂隙破碎帶主要的地震運動學、動力學屬性參數，包括相對振幅、波峰相位時間、相似系數、主頻帶能量、二維空間時間梯度和相干系數等，提出了礦山工程裂隙破碎帶三維地震屬性的去噪平滑、歸一化、相關分析、特徵變換的處理方法以及裂隙破碎帶的模式識別原理與方法，並用實例說明了該方法的應用效果。
  15. Firstly, we introduce the basic theory and methods for realization of sofm. subsequently we improve the arithmetic and implement the feature extraction of raw data using k - l translation, select the eigenvector. combining c - avarage and isodata arithmetic, classify the eigenvector, according to the methods of this dissertation, in lower layer, set nerve cell and unite or delete nerve cells in middle layer, to improve the anti - huise - and robust

    論文首先介紹了sofm的基本原理和實現方法，接著在其基礎上對具體演算法進行改進，用k - l變換對原始數據進行特徵提取，選取出特徵變量，結合c -均值和isodata演算法對特徵變量進行預分類，按照本文中介紹的方法在底層預置神經元，在中間層對神經原進行合併和刪除，加強了該網路的抗干擾性和穩定性。
  16. In the recent years, as the proportion of mechanic industry in nation economy increases, the requirement for safe operation of mechanic equipment is higher and higher. due to that all kinds of technology are progressively applied to mechanic equipment fault and diagnosis, such as signal processing, pattern recognition, etc., mechanical equipment fault and diagnosis technology has been developed rapidly all over the world. the reciprocating pump as a part of mechanic equipment field takes up very important station in production department, such as the petrochemical industry. because its applications are very widely, making researchs about its fault and diagnosis has important meaning. though people have already made out some researchs and obtained some research results, but the total diagnosis level is not still very high. based on former research results, according to the strong non - stationary characteristic of the pump valve signal of the reciprocating pump, this text introduces hilbert - huang transform ( abbreviated as hht ), and diagnosed the pump valve faults of the reciprocating pump well

    雖然人們已對其開展了不少研究並取得了一些研究成果，但總的診斷水平還不是很高。本文在基於前人研究成果的基礎上，根據往復泵泵閥信號的強非平穩特性，引入了希爾伯特-黃變換（簡稱hht ） ，對往復泵泵閥較好地進行了診斷。往復泵由於其結構復雜，激勵源多，故其信號為強非平穩信號，對其進行故障特徵提取和診斷比較困難，所以本文主要研究了往復泵泵閥振動信號的特徵提取方法。
  17. Because reciprocating pump has complicated structure and more exciters, so its signal is a strong non - stationary signal, and carrying out fault feature extraction and diagnosis is very difficult to it, this text mainly researches on featute extraction of reciprocating pump ’ s valve vibration signal. this text introduces hht that huang put forward, it is a kind of signal processing method that suits for dealing with the stationary signal, and suits for non - stationary signal also. although the hilbert - huang transform ( hht ) is an effective tool processing the non - stationary signal, the hht based on emperical mode decomposition ( abbreviated as emd ) algorithm which adopts the cubic spline interpolation could n ' t acquire accurate characteristics for the strong non - stationary signals in that the spline produces an accurate result only under the condition that the data consists of values of a smooth function

    本文引入了huang等人提出的hht ， hht是一種既適合於處理平穩信號也是一種適合於處理非平穩信號的信號處理方法。盡管希爾伯特-黃變換（ hht ）是處理非平穩信號的有效工具，但基於經驗模態分解（簡稱emd ）的hht由於採用三次樣條插值而不能準確提取強非平穩信號的特徵，因為三次樣條插值只有在數據由光滑函數值構成的情況下才能產生精確的結果。為了解決這個問題，本文提出了基於改進的emd演算法，即採用分段三次hermite插值多項式（ pchip ）作為極值包絡的方法。
  18. The feature technology and feature conversion technology are analyzed, and a feature conversion system based on design feature model of product is constructed, which can convert product feature model from design view to machining view

    摘要分析特徵和特徵轉換技術，並建立一個基於產品設計特徵模型的特徵轉換系統，實現產品特徵模型由設計域到加工域的轉變。
  19. The study state of art and development trend of structural damage identification research is simply summarized in this paper. hilbert - huang transform ( hht ) is applied to the damage identification and intrinsic frequency confirmation of time - variable structures. furthermore, a kind of inverse calculation is presented to calculate structural stiffness. this method can solve three main problems : the time that damage occurred, the location and the degree of damage

    本文簡要總結了結構損傷識別領域的研究現狀和趨勢，圍繞損傷引起固有頻率變化這個特徵，將希爾伯特?黃變換（ hht ）應用於時變結構的損傷識別和損傷前後固有頻率確定上，並結合牛頓迭代法，對結構剛度進行反演計算，從而解決結構損傷識別領域所關注的三個主要問題:損傷發生時間、損傷位置以及損傷的程度。
  20. In this article, the research of image process based on pattern recognition consists of three phases : 1 ) phase of image segmentation : a method of multi - layer and multi - character ' s segmentation in transform field based on knowledge is proposed

    本文對基於模式識別的圖像處理過程分三個主要階段進行研究： 1 ）圖像分割階段：提出基於知識的多層多特徵變換域（特徵空間）的判別分割方法。
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