extraction of wavelet 中文意思是什麼

extraction of wavelet 解釋
子波提取
  • extraction : n. 1. 抽出，拔出。2. 【化學】提取（法）；萃取（法）；回收物，提出物；精煉。3. 精選，摘要。4. 血統，家世，出身。5. 【數學】開方，求根。
  • of : OF ＝Old French 古法語。
  • wavelet : 小浪；【物理學】子波，弱波，小波，基元波，成分波。
  1. 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
  2. Furthermore, the question of feature extraction of three millimeter pulsed radar echo using wavelet neural network is investigated

    此外，論文還研究了用小波補經網路提取三毫米脈沖體制雷達回波信號特徵的問題。
  3. The system fulfills following functions : signal de - noising, signals analysis using wavelet and extraction of character parameters ; display analysis result and give out tocsin

    該系統能夠完成如下功能:信號去噪;對數據進行小波分析，提取特徵參數;顯示結果，給出故障警報。
  4. The feature extraction in brain - computer interface based on best basis of wavelet packet

    腦機介面中基於小波包最優基的特徵抽取
  5. An automated de - noising algorithm based on the energy of wavelet packet not donoho ' s threshold algorithm is established. a gear feature vibration signal extraction method using the wavelet packet energy is proposed, which can separate gear meshing vibration, noise vibration and gear fault vibration signal from the original gearbox case vibration signal. basis pursuit ( bp ) algorithm is introduced into the filed of mechanical signal de - noising and feature extraction for the first time

    第三章擺脫了donoho的閾值消噪思想，從能量的角度建立了基於小波包的自動消噪演算法；提出基於小波包能量分佈的齒輪故障特徵信號提取方法，可以將齒輪嚙合振動信號、干擾振動信號以及故障沖擊振動信號從原始齒輪振動信號中分離出來；首次將基追蹤消噪演算法引入到機械故障信號的消噪與特徵提取上，通過對齒輪故障信號的消噪，表明了它的有效性，並對影響該方法實際應用效果的因素進行了全面的分析，同時也指出了該方法存在的局限性。
  6. Caption recognition feature extraction using wavelet transformation and the combination of statistical language model and hidden markov model methods finally achieved the identification of caption

    基於統計機器學習的字幕識別提取小波變換的特徵並使用隱馬爾可夫模型和統計語言模型的識別技術相結合的機器學習方法，實現字幕文字的識別。
  7. Abstract : the characteristics of wavelet transform and its significance in image edge extraction are presented. the detailed steps for the extended target centroid calculation with wavelet transform are described. extracting target ( airplane ) centroid coordinates when airplane images are in the background noise conditions with different image fuzzy degrees by using wavelet transform, the extracting accuracy for target centroid coordinates under the different image fuzzy degrees and background noise conditions are compared. the application prospect of wavelet transform in the extended target tracking is shown

    文摘:介紹了小波變換的特點及其在圖象邊緣提取中的意義，說明了擴展目標用小波變換進行目標形心計算的詳細步驟，並以飛機圖象為目標在不同圖象模糊程度及背景噪音情況下用小波變換進行了目標形心坐標提取，比較了不同圖象模糊程度及背景噪音情況下目標形心坐標提取的精度，展示了小波變換在擴展目標跟蹤技術中應用的前景。
  8. It mainly includes following aspects : in this paper, firstly implication of wavelet analysis in signal harmonic component extraction is presented in detail, and on this foundation signal given frequency band component extraction method is proposed. then we investigate frequency aliasing phenomenon, reason why frequency aliasing phenomenon is easy happened when wavelet is implied in field of motor fault diagnosis, and frequency bands where frequency aliasing phenomenon is easer happened, and put forward approved morlet wavelet analysis method which can effectively alleviates frequency aliasing phenomenon. third we set up vibration signal detected system, design experiments to obtain three groups of fault signals : eccentricity fault, mixed fault of eccentricity plus mild rub, mixed fault of eccentricity plus moderate rub, and process these data using analysis method proposed in this paper

    首先對論文的選題以及相關背景進行了探討，並對相關的小波基礎理論進行了闡述，主要針對感應電動機的偏心故障和偏心+碰摩復合故障形式及相關的應用演算法進行了詳細探討，主要工作內容包括下面幾個方面:在論文中，首先對小波分析在信號的諧波分量提取中的應用進行了研究，在此基礎上，提出了信號的特定頻帶成分的提取方法;研究了小波分析的頻域混疊現象，探討了小波分析應用於電機故障診斷領域時易發生頻域混疊現象的原因，以及混疊現象較易發生的頻帶，提出了可以有效減輕頻域混疊現象的改進的morlet小波分析方法;搭建了振動信號檢測系統，設計實驗採集得到三組故障數據:偏心故障，偏心+輕微碰摩復合故障，偏心+中度碰摩復合故障，並對這些數據應用本文提出的分析方法進行信號處理，提取出的特徵參數可有效區分這兩種故障形式;研究了基於matlab和labview的混合編程方法，完成了電機故障檢測系統的軟體開發。
  9. Such recognition algorithms the feature extraction based on a set of 2 - d gabor wavelet and computation of percentage mismatched bits hamming distance between a pair of iris representations developed by daugman, texture analysis methods developed by wildes and chinese academy of science, extraction of iris signatures by means of zero - crossing of the dyadic wavelet transform developed by boles and so on

    深入研究了多種典型識別演算法: daugman的基於2 - d復值gabor小波的虹膜相位編碼和hamming距離的方法; wildes和中科院的基於虹膜紋理分析的方法; boles的基於小波過零檢測的方法;上海交大的基於小波模極大值的方法等。並在此基礎上，對虹膜識別系統中的圖像預處理和識別的若干演算法進行了改進。
  10. Application of wavelet transform in visual evoked potential extraction

    小波變換在視覺誘發電位信號提取中的應用
  11. It researches three ways of characteristics extraction of signals including zero - center instantaneous feature, wavelet analysis feature and a feature set consisting of fractal dimension, l - z complexity degree, entropy and resemblance coefficient

    在特徵提取部分研究了信號的零中心瞬時特徵、小波分析特徵以及由分形、 l - z復雜度、熵和相像系數組成的特徵集。
  12. Applied in license plate segmentation problem, a new segmentation method of automobile license plate based on wavelet transform and neural network is pointed out [ 71 ]. 2 ) phase of image feature extraction : combined with the feature extraction of structural and statistical method, a method of image character feature extraction based on wavelet and moments analysis is presented [ 74j. 3 ) phase of image classificaton [ 73 ] : after investigation on intelligence recognition technology, the paper puts forward basic structure of recognition machine ' s model, and makes a primary research of basic structure and design method, then makes research of the multi - character method

    並應用於車牌分割問題，提出基於小波與神經元模式識別的車牌圖像分割方法； 2 ）特徵提取階段：將結構特徵提取方法和統計特徵提取方法的緊密有機結合，提出一種基於小波和矩的車牌圖像字元特徵向量提取方法； 3 ）分類識別階段：對智能識別技術進行研究，提出智能識別機的模型結構，對識別機的基本層次結構和設計方法進行初探；並針對多特徵方法進行一定的研究；本文提出的基於模式識別的圖像處理方法對其他領域的圖像處理具有一定的參考價值。
  13. Extraction of impulse response based on correlation filtering method of lapalace wavelet

    小波相關濾波法與沖擊響應提取
  14. A fast algorithm for wavelet transform is also proposed and applied in the extraction of the phase change rate for complex wavelet transform of stable - state stator current, which can detect broken rotor bar faults effectively

    本文將該快速演算法應用到電機穩態電流信號復值小波變換的相對相位變化率提取中，用以診斷異步電機的轉子故障。
  15. Study on wavelet denoise and characteristic extraction of echo signal to flaw classification in ultrasonic testing

    超聲檢測缺陷分類的降噪及特徵提取問題研究
  16. Abstract : an identification model of taste signals is developed based on fuzzy neural networks. the data compression and feature extraction of the sampled taste signals obtained using taste sensors are implemented employing wavelet transformation. fuzzy neural networks are used to identify the taste signals. the training of network weights and the optimization of membership functions are conducted employing genetic algorithms. the data processing and fuzzy identification of mixed acid and sweet taste signals are realized. simulated experimental results show that it is feasible and effective to introduce fuzzy neural networks into the fuzzy identification of taste signals

    文摘:文中提出了一種基於模糊神經網路方法的味覺信號識別模型，利用小波變換實現了對傳感器所採集的味覺信號進行數據壓縮及特徵抽取，以模糊神經網路作為味覺信號的識別工具，並利用遺傳演算法訓練網路權值、優化隸屬度函數.文中實現了對酸、甜復合味覺信號的數據處理和模糊識別.實驗結果表明了將模糊神經網路引入到味覺信號模糊識別的可行性和有效性
  17. Based on wavelet analysis theory, and aiming at fault data character extraction in induction motor mixed fault diagnosis, this essay dedicates on implication of wavelet analysis in this field, and gain good effect in experiment

    本論文基於小波變換理論，針對感應電動機復合故障診斷中故障數據特徵提取，進行了小波理論在其中的應用研究，並在實驗驗證中取得較好的效果。
  18. The extraction of edge - features is one of the most important items in oip field. wavelet - transform is a nice and available way to extract the image ' s edge - features

    根據小波變換在光學上的實現方法，選用典型的4f光學處理系統，以它作為實現模擬實驗的光路。
  19. The radar targets identification based on feature extraction with wavelet transformation and nearest - distance classer is studied in chapter 3. discrete orthogonal wavelet transformation and wavelet transformation based on beylkin algorithm are applied to the samples of the targets to test their performance. the former has a better antinoise performance and the latter has a better identification rate

    離散正交小波變換中提取的特徵為信號的低頻部分，在特徵提取過程中已實現了消噪，具有較好的抗噪性能;而beylkin演算法利用樣本序列所有圓周移位的小波變換的高頻部分，提取的信號特徵雖具有移不變性，有較好的識別率，但抗噪性能較前者差。
  20. This thesis referred to the applications of neural network and wavelet transform theory in power system, used the function of mode identification and mode classification of ann and the function of signal extraction of wavelet transform, and established the model of single - phase reclosing based on wavelet neural network. through simulating a line model, the paper approved its feasibility

    本文借鑒神經網路和小波變換理論在電力系統中的應用，運用人工神經網路模式識別與模式分類和小波變換信號提取功能，建立了基於小波神經網路的單相重合閘的模型，並通過對一線路模型的模擬，證實了它的可行性。
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