wavelet transform 中文意思是什麼
wavelet transform
解釋
小波變換-
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。 -
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。 -
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。 -
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。 -
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。 -
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。 -
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。 -
Edge detection algorithm for image based on improved dyadic wavelet transform
小波變換的自適應閾值圖像邊緣檢測方法 -
Detection method for r - wave of ecg signal with wavelet transform
波的小波探測法 -
Ecg signal denoising based on wavelet transform
基於小波變換的腦電信號噪聲消除方法 -
The eeg signal analysis based on wavelet transform
基於小波變換的腦電信號分析 -
Eeg signal denoising based on wavelet transform
基於小波變換的腦電信號降噪方法的研究 -
Digital watermarking algorithm based on wavelet transform, making use of relative frequency equability feature of low - frequency that comes from image ' s mra decomposing and according to size between insert point value and its region mean value, is that two - value watermarking is hid in insert point
基於小波變換的數字水印演算法充分利用了圖像經過多分辨分解后低頻圖像的頻率相對平穩特性，並依據嵌入點值與其區域均值的大小，將二維二值水印信息隱藏到嵌入點。 -
Under this background, this thesis of master ' s degree studies and proposes a texture analysis method for handwriting image based on integer - to - integer wavelet transform by synthesizing methods that were excogitated
在這樣的背景下，本文通過綜合已有筆跡鑒別方法，研究提出了一種基於整數小波系數的筆跡鑒別方法。 -
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。 -
Continuous wavelet transform on the vector function space
向量函數空間上的連續小波變換 -
The emphasis of this thesis is studying the methods of bit allocations of digital image compression based on wavelet transform and managing to minimizing the overall distortion. we know from the rate - distortion theory that the aim is gainable
由率失真理論我們知道，對于給定的碼率，可以找到一種比特分配演算法對小波變換后的各個子帶進行比特分配，使重建圖像的失真達到最小。 -
We use wavelet transform and spiht encoding method to compress the data that we got after speckle noise reduction. the results compare favorably with jphg compression methods
對于基於邊緣信息的garrote去噪方法我們同傳統的軟去噪和硬去噪以及lee濾波方法進行了比較，得到了很好的實驗結果。 -
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。 -
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。
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