haar 中文意思是什麼

Fast reconstruction method for curve based on haar wavelet decomposition

小波分解的快速曲線重構

Optical implementation of haar edge wavelet and extraction of image feature

子波的光學實現及圖像邊特徵提取

Continuous time system robust identification based on haar wavelet method

小波變換的連續時間系統魯棒參數辨識

Baire and haar measure

貝利與哈爾測度

Research of nonlinear image noise removal based on haar wavelet multiresolution analysis

小波多分辨分析非線性圖像消噪的研究

Application of haar wavelet on analysis of vibration signal of rotating machinery in fast run - up state

旋轉機械高速啟動過程振動信號分析方法的研究

The martingale analysis in the multiresolution analysis under the haar scaling function and its application in the signal processing

尺度函數下多分辨分析的鞅性及其在信號處理中的應用

Ter haar gr, rivers ih, chen l, et al. high intensity focused ultrasound for the treatment of rat tumor [ j ]. phy med biol, 1991, 36 : 1495

謝紅寧.超聲引導下瘤內無水乙注射治療子宮肌瘤的初步研究[ j ] .中國實用婦科與產科雜志， 2000 ， 16 （ 4 ） : 225

The experts in engineering, especially in engineering expect that the compact support wavelets are real, orthogonal and symmetric. in fact, no such a wavelet, except the wavelet haar, is found

工程界使用的小波一般而言是實值的緊支正交對稱或反對稱的，這有很多好處，尤其在數字圖像的邊界處理中。

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。

We construct weak classifier by a haar feature ; then weak classifiers are combined to a strong classifier in a linear way. the final classifier is built in a cascade structure, which could reject most non - face samples in the early layer. also we use integral image to quickly calculate the feature and reduce the detection time

本文以簡單的haar特徵結合閾值構造弱分類器，通過adaboost學習選擇和集成弱分類器，最後按照分層結構把集成的分類器組合在一起；同時，在檢測過程中採用積分圖的方法計算特徵，保證了檢測的速度。

And by far, most theories of wavelet analysis are established in, but this method is rare to be known and exists defects in the reproducing kernel space with good properties. then in the reproducing kernel space, isometric isomorphism of relation is founded between and by differential operator. and starting from the haar basis, multi - resolution analysis inis gived by folding method ; then multi - resolution analysis and orthonormal wavelet in are obtained through integral transform from to. then the reproducing kernel space can be expressed by wavelet spaces

於是，在再生核空間中，利用積分運算元建立了空間與hilbert空間的等距同構關系；並且從haar小波出發，由折疊法實現的空間中多尺度分析通過積分變換得到中多尺度分析和正交小波，使得再生核空間可以由小波空間來刻劃；從而對空間中的函數，給出了小波逼近具體表達式和相應的采樣公式，形式簡單易於數值分析。

Its basic thought is that using amass of simple classifier which has common classified ability and through thecertain method ， at last ， constitutes a very strong classifier which has strongclassified ability carries on many times with this strong classifier to the goalpictures ， finally confirmed the pictures whether includes the human face andits the general position this algorithm uses a characteristic which called haar characteristic thischaracteristic is one kind of simple rectangular characteristic ， because it issimilar with the haar wavelet ， so called haar characteristic this kind ofcharacteristic is composed of two or many rectangles that are congruent andneighboring there are white and black kinds of rectangles in the characteristictemplate, and defines this characteristic template characteristic value as thewhite rectangle this characteristic value is that the difference between white

本文主要研究基於haar特徵的adaboost演算法。由於以前提出的特徵中包含的人臉基本特徵比較少，導致檢測時間過長。本文根據人臉基本特徵的分佈提出一種新的特徵，新特徵覆蓋了人的眼睛，鼻子和嘴，它由haar特徵中的一些簡單特徵組合而成，形狀類似卷積中用到的3階矩陣，這種新特徵檢測的結果是可以檢測到人臉，時間上得到優化。

Where several mother wavelet functions were used to expand a function, it also can be seen as vector - valued wavelets that satisfy conditions in which matrics are involved. the main works of this paper are as follows : firstly, although haar function has bad vanish property in frequency domain, it is the only normal orthonormal basis with symmetry and real short - support property

首先，討論了對于尺度函數，相應的母小波構成空間的標準正交基的充要條件，提出了構造a尺度母小波的演算法，從理論上研究a尺度haar小波基的構造，提出了分解與重構公式，並對如何構造具有對稱性的a尺度haar小波基進行了探討。

The experimental results manifest that the psnr of both the full reconstructed video sequences and the ones of frame rates changed are improved compared to the system base on haar wavelet. moreover, the decoding time of db2 filters is shorter than the haar one, the shorter the decoding time, the better the real - time displaying in the client side

實驗結果表明，本系統與基於haar小波的可伸縮性視頻編解碼系統相比，完全重建的視頻圖像質量和幀速率改變后的重建視頻圖像質量都有了明顯的提高，並且解碼時間也有所縮短，具備了更好的實時性。

This thesis makes a fairly in - depth study on the basic techniques about the current svc algorithms by reading a lot of relevant references, including the svc system schemes and the techniques of various scalabilities. based on these knowledge, motion compensated temporal filtering ( mctf ) which is an effective method to eliminate temporal redundancy is researched, and mctf based on db2 wavelet is presented by studying the method of mctf using haar wavelet. the simulation proves that the low - pass frame is better than the haar one, it means that the temporal scalability is improved

在此基礎上，本文研究了在時間可伸縮性中採用的一種有效方法:運動補償時域濾波（ mctf ）技術，並借鑒haar小波進行運動補償時域的方法，研究並實現了基於db2小波的運動補償時域濾波方法，模擬結果表明該方法比基於haar小波的方法得到了更高質量的低通幀，這也意味著在時間可伸縮性的處理上有了進一步的改善。

But, though considerable process has been made in the last ten years, digital watermarking is still in its infancy, and much interesting work remains to be done this thesis addresses some problems in the gray - scale image digital watermarking that are summarized below : 1 ) whereas the basic theory of digital watermarking is still very poor, a digital watermarking mathematic model based on imperceptibility and robustness is presented by analysising the characteristic of digital watermarking ; 2 ) based on the model constructed above, by defining the measures of capacity and robustness of digital watermarking, an objective method for evaluating the digital watermarking is introduced and used to analysis some algorithms ; 3 ) whereas geometric distortion always influences the restoration of watermark, we advocate to enhance the robustness against geometric distortion by restoring the image which has been distorted by geometric transformation, and a method is designed for estimating the parameters of geometric transformation ; 4 ) based on the conclusion discussed above, and combined with the masking effects of hvs, a novel public meaningful gray - scale image digital watermarking is designed by analysising the characteristics of image gray - scale interpolation and haar wavelet transformation. the experimental results show that the method is indeed powerful ; 5 ) whereas many image digital watermarking schemes, which embed watermark by modifying the values of pixels in spatial domain and transformed domain, are confronted with the conflict between the imperceptibility and robustness, we advocated to use some stable digital characteristics of host image as watermark and a algorithm based on hermite matrix is designed

本文重點對灰度圖象數字水印技術進行研究，主要工作如下： 1 ）鑒于目前數字水印的理論研究比較薄弱的現狀，本文通過分析數字水印的特點，建立了一個數字水印的數學模型，為進一步研究數字水印打下了基礎； 2 ）根據以上建立的模型，通過引入容量和穩健度的概念為數字水印提供了一個客觀評價方法，並對一些數字水印演算法進行了分析； 3 ）為增強數字水印抵抗幾何攻擊的能力，研究了受幾何攻擊的圖象的復原問題，並給出了一個計算圖象幾何變換參數的方法； 4 ）通過分析圖象灰度插值演算法和haar小波變換的特點，結合hvs的掩蔽效應，設計了一個公開的有意義數字水印演算法，實驗結果表明本演算法具有較強的穩健性； 5 ）目前許多水印演算法都是通過在空域或頻域修改象素值的方法嵌入水印的，這種方法面臨著透明性和穩健性的矛盾，為解決這個矛盾，本文提出以圖象的某些穩定的數字特徵為水印的觀點，並結合hermite矩陣的特點設計了相應的水印演算法，實驗結果表明該演算法具有較好的穩健性。

At last, combining the related knowledge of wavelet theory and hidden markov models, we introduce wavelet transformation for nonparametric estimation of hmm ' s and discuss how to choose resolving scale of haar - wavelet orthogonal series " estimation

最後，結合小波理論和隱馬爾科夫模型的相關知識，將小波變換應用到隱馬爾科夫模型非參數估計問題中來，並探討了其中haar小波正交級數估計量分解尺度的選取。

In chapter 4, i performed the analyzing work with wavelet and fastica and find that wavelet was a high efficient way to filter the cep signal when i set the wavelet and scaling function to haar, decomposing level to 4, threshold method to fixed to threshold and white - noise structure to scaled white - noise. it took the advantage that reduced the accumulating times to 60 with more smooth signal and less distortion. but fastica takes no advantage on this facet

本文通過小波變換和獨立分量快速分析模式識別的方法對cep數據進行了分析處理，同時與數字低通橢圓濾波器的處理效果進行了比較，發現用小波對cep的數據進行濾波處理時，可以將數據的疊加次數從120降低到60次左右，且信號的質量要比以前的處理方法好；但是獨立分量快速分析方法效果不很好。

We study the design of haar wavelet for scale = a ( a2 ) and present a decomposition and reconstruction algorithm in chapter 3. secondly, in chapter 4 we study the design of orthonormal mutiwavelets of multiplicity r with scale = a ( a2 ). by the factorization theory, we give parametric expressions for orthonormal causal fir multifilter banks of r = 2 and scale = 4, and we found the length of scaling function can be controlled by the parameters. finally, we provide the error analysis between discrete multiwavelet transform coefficients and continue multiwavelet transform coefficients

由於多小波變換系數的計算是直接與其預濾波方式相聯系的，而在單小波變換系數計算中之所以能由近似表示就是因為尺度函數具有低通特性和平移正交性，由此我們研究了能滿足以上要求的預濾波，並對離散小波變換系數和連續小波變換系數之間的差異作了分析，從誤差分析結果我們可以預見：為了減少誤差我們可以通過對預濾波的進一步設計來控制。