wavelet 中文意思是什麼

wavelet 解釋
小浪;【物理學】子波,弱波,小波,基元波,成分波。

  1. It is the first time that the theory of wavelet has been applied in the signal processing of the codog power plant experiment rig and wavelet transform denoising was used, it may keep the aiguille and saltation parts, wipe off the noise and pick up the useful signal, it is benefit to analysis the result in experiment

    把小波分析理論應用於codog實驗臺信號處理中,用小波變換進行信號消噪,可以很好的保存有用信號中的尖峰和突變部分,將信號的噪聲部分去除,從中提取出於有用信息,更有利於實驗結果分析。
  2. Multiresolution wavelet is widely used in antinoise application because of the correlation of different layer wavelet coefficients. this paper presents a method called " shifting different layer coefficients " to suppress noise and pick - up the edge

    多尺度小波系數由於其相關性而在去噪中得到應用,本文提出利用多尺度小波系數的移位相關的性質來最大限度的抑制噪聲,提取邊緣。
  3. Research show that wavelet varied - grid feature vector is characterized by high - stable and high - distinguish. based on this vector the apery cognitron has solved the harmony of single - classifier and multi - classifier and the harmony of multi - feature. the data shows that the recognition rate and reliability has been effective improve

    實驗數據表明,小波變網格特徵向量具有穩定性高、區分性強的特點,基於此的智能字元識別機解決了單、多分類器協調和特徵協調問題,在應用快速二值化方法加強處理實時性的同時有效地提高了車牌字元的識別率和識別可靠性。
  4. Diagnosis of inception cavitation in centrifugal pump using wavelet combined with autocorrelation method

    小波分析用於離心泵初生汽蝕診斷
  5. An adaptive wavelet network classifier for vibration fault diagnosis of steam turbine - generation is proposed based on theory of adap tive wavelet network ( awn )

    基於自適應小波網路理論,構造了一個應用於汽輪發電機組振動故障診斷與識別的自適應小波網路分類器。
  6. We discuss the forecast method which based on wavelet neural networks by combining good time and frequency local analysis ability which wavelet analysis possesses with learning ability which neural networks possesses, and bring forward a frondose, banausic algorithm in this dissertation0 also, a essential thinking of combined forecast based on wavelet neural networks is described and a essential trait of combined forecast based on wavelet neural networks is pointed out

    結合小波分析所具有的良好的時頻局部化分析能力和神經網路所具有的學習能力,討論了小波神經網路預測方法,並給出了其具體、實用的演算法。文中還描述了基於小波神經網路組合預測的基本思想,指出了利用小波神經網路進行非線性組合預測的特點。
  7. Different bit rates are allocated to wavelet blocks according to energy the wavelet blocks include. bit rates in wavelet blocks are adaptively adjusted in coding process. by use of bipartition, the entropy of each wavelet block approximates to the target bit rate of one

    該演算法首先根據每個小波塊所含能量的多少和到每個小波塊實際編碼所用的比特數,給其分配不同的碼率;然後根據二分法,通過調整各小波塊的量化因子使得各小波塊的熵逼近它的目標比特率。
  8. This thesis studies the law of affecting de - noise result and the selection of the threshold and the wavelet function, the combination of wavelet and fft in the fault diagnosis of turbine - generator sets : by the de - noise anslysis of blocks and sin signals, concludes : to blocks signals, usually adopts soft threshold ; the law of affecting de - noise result is when use wavelet auto - de - noise, with the increasing of decomposed level, the de - noise result becomes worse while the level blow the 3, when the level above 3 and when uses wavelet packet, it is the other way round ; the best de - noise methods of the signal is that uses " dbl " wavelet function, three level, soft and " rigrsure " threshold

    本文研究了分解層數對消噪結果影響的規律和閾值、小波函數的選取,結合小波分析與fft分析診斷汽輪發電機組的故障。通過對brocks和sin兩信號的分析,得出:對blocks信號進行分析一般採用軟閾值;分解層數對消噪結果影響的規律為用小波自動降噪在分解層數小於3時,隨著分解層數的增加,消噪結果變好,反之,則變差,用小波包降噪時隨著分解層數的增加,消噪效果變好;適宜選用dbl小波軟rigrsure閾值自動消噪。
  9. 6 boles w w, boashash b. a human identification technique usingimages of the iris and wavelet transform

    掌紋可看成是由主線皺紋和乳突紋等基本構件形成的紋理圖像。
  10. Firstly, chromatism analysis and wavelet transform are used for color image compression coding. in this method, one of the three color components of a color image ( for example the g component of a rgb color image ) is coded using wavelet transform, and the chromatism between g and other two color components rg = r - g, bg = b - g is coded respectively using chromatism analysis. during decoding, g ~ is first reconstructed using wavelet inverse transform and inverse quantisation, and rg, bg are reconstructed using chromatism analysis inverse transform ; then r, b are calculated by r = g + rg and b = g + bg respectively

    其一是應用色差分析和小波變換對彩色圖象進行壓縮編碼,該方法是對彩色圖象的三個色彩分量之一,如rgb圖象的g進行小波變換編碼,而對g與另兩個色彩分量的差值(即rg = r - g和bg = b - g )進行色差分析編碼,解碼則是通過反量化和小波逆變換得到g ^ ,通過色差分析的逆變換得到兩個重構的色差rg ^和bg ^ ,再算出r ^ = g ^ + rg ^ 、 b ^ = g ^ + bg ^ ,最後由r ^ 、 g ^ 、 b ^重構圖象。
  11. ( 3 ) to make trig - cluster constringed by acquiring other orthogonal base. the third problem brought on the birth of wavelet that has gone through about a hundred years

    ( 3 )求得另外的正交基,使時于在三角族情形下的發散現象在此時不致發生。
  12. The writer give a method of image progressive transmission based on wavelet transforms, it increased the efficiency of the image transmission consumedly

    給出了一種基於小波變換的圖像漸進傳輸方法,使得圖像的傳輸效率大大提高。
  13. On the basis of investigation and research about the technology of reconstruction for ict image up - to - date, this paper is devoted to develop an algorithm for image reconstruction based on wavelet theory. in this paper, time - frequency distribution for spatially varying filter was used to construct convolve - kernel by dwt, to modify convolve - back - projection algorithm

    本文在國內外有關ct圖像重建的研究狀況基礎上,根據小波分析理論,利用小波變換在時頻空間的可變性,用dwt變換構造卷積核,對卷積反投影演算法做了改進。
  14. The method describes and evaluates the quality of image through wavelet transform extracting luminance, definition and corelation

    該方法通過提取圖象的亮度,清晰度,相似度,尺度失真度等多種指標來綜合評價圖象質量。
  15. A, 1998, 15 : 389 - 403. 29 shen d, horace h s. discriminative wavelet shape descriptors forrecognition of 2d patterns

    Curet數據庫包含有61類真實世界的平面的紋理,每一類有203個不同幾何變化和光照變化的樣本。
  16. 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。
  17. In order to satisfy the veracity and the robustness against time - variable noise of the aoct, a new square root kalman adaptive filter arithmetic with time - variable noise statistic is presented in this paper. in addition, the wavelet analysis is applied to inspect the singularity of the measured current, and an adaptive signal - noise decomposer for aoct is designed

    為了滿足aoct自適應控制的準確性和時變噪聲魯棒性的要求,論文將kalman濾波理論引入到自適應濾波中,並應用矩陣理論提出了一種新的時變噪聲統計的平方根kalman自適應演算法。
  18. Using wavelet transform, edges and their direction angle which is used as a matching constraint in the image were gained

    通過小波變換,得到了圖像的邊緣和邊緣幅角並定義了邊緣幅角約束。
  19. Finally, this thesis discussed these following questions : first, the algorithm of used the error image for improving the purpose of the edge detection. secondly, we have transformed the solved question of the first and the second directional derivative to frequency domain and founded they have a single formulae in frequency domain. thirdly, we have described the singular signal and the noise by using the correlations of the neighbor data after wavelet transform

    最後,在傳統的邊緣檢測演算法和小波分析的邊緣檢測演算法之外,對以下幾個方面也進行了一些討論: 1 )利用誤差圖像來提高邊緣檢測效果的演算法; 2 )將求解任意方向的一階、二階方向導數的問題轉換到頻域中去求解,發現在頻域中它們具有簡單易用的公式,使得原來求解任意方向的一階、二階導數的比較困難的問題變得容易實現了。
  20. Partial wavelet coefficients ca n ' t be set zero when the threshold is undersize so parts of noises are retained and some useful signals will be taked off when the threshold is iusto major so parts of useful signals are lost. these cases result in dissatisfactory denoising

    如果閾值選取過小,那麼有一部分的噪聲小波系數將不能被置零,從而在去噪后的信號中保留了部分噪聲信息,使去噪的效果變差。
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