high-frequency wavelet 中文意思是什麼
high-frequency wavelet
解釋
高頻子波-
Secondly, the wavelet transform of ae signals collected in experiment is carried out with db6 wavelet and scale 3 on the basis of the signal ' s frequency analysis. the high frequency d, signal is ae characteristic signal. and by choosing the level ' s wavelet coefficient as its input, the wavelet - neural networks can be trained with the data of ae experiment, and the ae signals can be effectively recognized
然後，在實驗與對實驗所採集數據頻譜分析基礎上，根據對小波分析用於信號處理可行性研究，本文選擇db6母小波、尺度j = 3對實驗所採集數據信號進行小波變換，變換后其高頻成分d _ 1信號即為聲發射特徵信號。 -
Compared with classic wavelet technique, the proposed method can adjust not only the low frequency components of earthquake wave, but also the high frequency components
和傳統的小波分析相比，該方法不僅對地震波低頻分量進行精確調整，還可對其高頻成分實現類似的調整。 -
By integrating conventional fourie transformation with the smooth average method of spectrum, the high frequency noise was not only removed, but also the signal was smoothed and the main frequency of the signal was found easily and then was extracted as the coarse features of the signal. on the basis, in order to analyze the detail features of the signal, the signal can be decomposed using the db6 mother wavelet function
在譜分析方法的傅立葉變換中引入平滑平均法對蜂窩結構材料和纖維增強材料聲-超聲檢測信號進行處理，不僅可以有效地去除信號的高頻噪聲，而且可以平滑信號，突出檢測信號的主頻，實現了對檢測信號「粗信息」特徵的提取；在此基礎上，合理選用db6小波基函數，對信號進行小波分解，對信號的特徵進行進一步的細微分析。 -
So this part is dealt with separately. dcpm method is employed to improve the quality of image coding with making full of the relativity of the wavelet coefficients. according to the different importance degree and vision character of the high frequency wavelet coefficients, different thresholds are applied to remove small coefficients ; then mannos module are applied to remove the visual redundancy ; in order to produce more zero - tree, horizontal and vertical wavelet coefficients are transformed accordingly to improve the compression ratio
對于小波變換后的小波系數的高頻部分，根據其分佈特性和人眼的視覺特性，採用視覺模型對零樹量化過程的閾值進行修正，有效地去除視覺冗餘；對各高頻子圖採用多級樹集合分割的零樹編碼方法，有效地利用系數編碼剩餘符號，進一步提高壓縮比。 -
The innovative idea of the method is in that the analytic ability for high - frequency signals of wavelet packet is used to enhance information capacity. because the human vision is insensitive to high - frequency signals, one can make information of watermark mass and hightensile in the high - frequency domain. in this way, not only the quality of original image can be reserved, but also the robustness of the watermark improved
其創新點就在於利用小波包對高頻信號進一步分解的能力，極大地拓展了信息嵌入的空間，由於人眼視覺對高頻信號的不敏感性，可以以較大的強度在高頻部分嵌入水印，這樣不但可以保證原圖質量，而且可以進?步提高水印的頑健性。 -
The research results are controlled source which has linear or nonlinear variabe frequency scan function and the seismic instruments which match with it, and the method of small group intervals, small offset, much more channels, short array length, high - frequency receivers are applied during the link of data acquisition, and that the techniques of the refraction static correction, the noise suppressing, the high - resolution velocity analysis, the wavelet length compression, the wavelet zero - phase, and the prestack migration should be applied emphasizedly during the link of data processing and interpretation
研究表明，對于城市活斷層的抗干擾高解析度淺層地震勘探，在數據採集環節應採用具有線性或非線性變頻掃描功能的可控震源和與其相匹配的地震儀器，以及小道間距、小偏移距、多接收道、短排列和高頻檢波器接收的工作方法；在數據處理與解釋環節，要重視折射靜校正技術、噪聲壓制技術、高精度速度分析技術、子波壓縮技術、子波零相位化技術和疊前偏移技術等的應用。 -
Because the high resolution on high frequency of wavelet package meets the feature of fingerprint containing abundant high frequency, we filtered the fingerprint preliminarily by means of wavelet package. while designing orientation filter, we introduced the square - circle transform to rotate filter, thus we reduced computing complexity and avoided imported errors
具體地，結合指紋圖像中高頻豐富的特點，以及小波包高頻解析度高的分析特性，選用小波包對指紋圖像進行初濾波；在設計方向濾波器時，對濾波器的旋轉引入了方?圓變換的方法，進而減少了計算的復雜度，同時避免引入誤差。 -
The real runoff time series was divided into the high frequency item and the low frequency item with the help of the wavelet analysis first, then the two items were modeled by chaos theory and the stepwise regression algorithm, at last the output of the two models were added together.
論文首先藉助小波分析，將實測徑流時間序列分解為高頻項和低頻項兩項，其次對這兩項分別用混沌理論和逐步回歸理論建模，其中混沌預報藉助基於自組織法求解的的volterra級數來完成，然後將兩者結果疊加起來。 -
Firstly, we analyze the transient and steady character of single phase high - impedance grounding fault. secondly, based on wavelet analysis on checking mutational signal and direction high frequency protection theory, utilizing zero sequence current and module current, this paper provides a new scheme including fault starting element, fault phase selection element, directional element and main criterion. this scheme can bear high impedance and is immune to system surge and frequency warp, which gets over the shortcoming of the lack of sensitivity
由於現有的保護方案無法快速有效地切除此類故障，本文在詳細分析了單相高阻接地故障的穩態和暫態特性的基礎上，從小波分析原理出發，利用小波變換檢測突變信號的原理，以零序電流、模電流等為研究對象，結合方向高頻保護的原理，設計了一套包含啟動元件、選相元件、方向元件、主保護的保護新方案。 -
Plenty of experiments show the real, imaginary, module and angle of wavelet transform can accurately choose the fault line and precisely identify the high frequency of transient signals
通過大量的實驗，表明利用小波變換后的實部、虛部、模值以及相角可以準確的給出故障線路並高精度的提取故障信號的暫態高頻分量。 -
It has a higher frequency distinguished - degree and a lower time - distinguished degree in low frequency part. as high frequency part, it is the other way around. so wavelet is adapt to probing the instantaneous abnormal phenomena of signal exactly and to show its components
小波分析是一種時頻分析方法，它在低頻部分具有較高的頻率解析度和較低的時間解析度，在高頻部分具有較低的頻率解析度和較高的時間解析度，很適合探測信號中的瞬態反常現象並展示其成分。 -
This thesis discusses maslov ' s method, wavelet transform and their applications to asymptotic evaluation of wave equations in high frequency fields. the method of solving wave equations in caustic domain by symplectic geometrical theory, and the method of simplifying two - dimension wave equations in slowly varying nonhomogeneous medium by wavelet - transform theory are proposed. the caustics phenomena of electromagnetic wave propagation in concave reflector, the singularities of caustics, and the method of computing wave fields in and far away from the caustics in concave reflector are also discussed
本論文探討了maslov方法在波動方程高頻近似中的應用及焦散區的具體求解方法；討論了用小波變換化簡二維非均勻緩變介質條件下的波動方程；本文還討論了凹面反射的焦散現象、凹面反射焦散區的奇性種類，討論了二、三維凹面反射波動場非焦散區、焦散區的計算方法。 -
One is to use fourier transformation to convert the source signal from time domain to frequency domain and to discard high frequency harmonious components upwards of 19 ( gb / t14953 - 93 d5. 3 demanding ), then to have static huffman coding to the quantized char array which is composed of reserved direct current component and basic wave and each high frequency " s amplitudes and angles. the other is to use discrete wavelet transformation to convert the source signal from time domain to frequency domain and to set the high frequency coefficients that its absolute value is smaller than the given threshold to zero, then to have dynamic huffman coding to the quantized char array which is composed of multiple, wavelet ' s level, datum length, low frequency coefficients and reserved high frequency coefficients. mass simulinks and analyses under the two circumstances have done to show that data compression ratio is small and the relative error is also small and within the permission of engineering and the compression problem can be solved in theory of measured datum of power system
第一種情況的壓縮方法為：採用傳統的傅立葉變換把原始信號從時間域變換到頻率域，舍棄20次及其以上的高次諧波成分（保證了gb / t14953 ? 93d5 . 3要求） ，然後對保留的直流分量、基波和各次諧波的幅值和相角數據量化后和量化時分別乘以的倍數系數構成一個數組，以字元形式保存，採用靜態huffman編碼對變換數據進行壓縮；採用離散小波變換把原始信號從時間域變換到頻率域，然後對分解得到的高頻系數進行閾值量化處理，對乘以的倍數系數、小波變換的階數、小波變換后的低頻、各級高頻以及原始數據長度、量化后的低頻系數以及保留的高頻系數大小、位置構成一個數組，以字元形式保存，採用動態huffman編碼對這個文件進行壓縮。 -
But in practical image, edge detection becomes a problem because of the using wavelet to transform the image into approximate express that undertake the filter of the high frequency part by original image
提出一種利用小波把圖像分解成近似部分和細節部分，近似部分是原圖像對高頻部分進行濾波所得的近似表示。 -
In contrary to the brushlet, the ezw ( embedded zerotree wavelet coding ) algorithm is also discussed. the performance of brushlet in preserving the high frequency information at high compress ratio can be revealed when compared to the ezw algorithm in the result
作為對比，本文同時研究了ezw小波系數零樹編碼演算法，從對比中可以看出brushlet在高壓縮比下保留圖象高頻信息的性能。 -
By actively removing part of the high frequency wavelet coefficients, the method can make an acceptable image compression result for both coder and decoder
即在特定應用條件下，將背景區域高頻成分進行部分濾除的activeshift編碼方法。 -
The main works are as follows : firstly, we compare image enhancement in wavelet domain with that based on unsharp masking and indicate that there is intrinsic relation between them, namely they both enhance images by enhancing the high frequency coefficients. because after an image is decomposed in wavelet domain, every high frequency can be enhanced. however, if unshrap masking is used, only one high frequency channel is enhanced
本文主要研究了基於小波多分辨分析的圖像去噪和增強，主要工作如下： 1將反銳化掩模與基於小波多分辨分析的圖像增強進行了對比分析，指出它們之間存在著內在的聯系，即兩者都是對與圖像邊緣細節對應的高頻實行增強，而且指出前者只不過是後者的一個特例，因為小波分解后，多級尺度多個高頻通道可得到增，而反銳化掩模僅增強了一個高頻通道。 -
This paper presented a novel denoising algorithm based on wavelet packet decomposition in order to wipe off noise mixed with texture lying in high frequency
為了有效去除與紋理信息同處于高頻的噪聲，基於小波包分解提出了一種新穎的去噪方法。 -
Wavelet package is division of wavelet high - frequency space for increasing resolution. by this means, the shortage of low frequency resolution on die premise of high time resolution can be overcome
而小波包則是對小波子空間w _ j按照二進制分式進行頻率的細分，以達到提高高頻部解析度的目的 -
We raised a new model that we disassemble the character into several parts, which could be recognized by computer topologically based on the high - frequency wavelet coefficients vector, disregarding the traditional extraction method that used the statistical or structural feature based on the individual pixel in the 2 - dim plane of character. moreover, the concept of multi - dim cognizing feature model was put forward by encoding the character, according to its " location and run - length information. the information confusion and redundancy could be largely eliminated, as leaded to the improving of the preciseness when recognizing the character
克服以往結構、統計方法在字元特徵提取中無法剔除噪聲、偏移等冗餘信息的不足，以認知的新思路分析圖像，給出基於小波子圖的筆劃定義，給出一種注重反映字元部分最為重要的筆劃的類型、數量、遊程、位置特徵，改進了基於字元二維圖像的統計與結構特徵提取方法因變形，畸變造成信息混淆和冗餘；給出了提取多屬性字元認知特徵的方法和識別機制，實驗表明，該方法能有效的識別字元； 3
分享友人