wavelet packet 中文意思是什麼

wavelet packet 解釋
波封包
  • wavelet : 小浪;【物理學】子波,弱波,小波,基元波,成分波。
  • packet : n 1 包裹;小件行李;(郵件等的)一捆;小批;袋。2 (定期)郵船,班輪。3 〈英俚〉(打賭等中輸贏的...
  1. 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。
  2. Nonlinear adaptive equalizer based on wavelet packet transform

    基於小波包變換的非線性自適應均衡器演算法
  3. Application of wavelet packet decomposition and its energy spectrum on the fault diagnosis of reciprocation machinery

    小波包分解及其能量譜在發動機連桿軸承故障診斷中的應用
  4. Fast algorithms of both discrete and orthonormal wavelet and wavelet packet coefficient are diagrammatized to be introduced. daubechies wavelet is applied to help to discuss the application and test on signal filtering and noise reduction with the principle and threshold implementation ; the basic principle to pickup the fault characteristics is introduced mainly about the relations between the maximum module and signal saltation point and how to characterize the saltation point with lipschitz exponent

    展示了離散正交小波變換的mallat快速演算法和小波包系數分解的快速演算法;重點應用daubeches小波探討了小波變換在信號濾波去噪中的應用和實驗,闡述了其基本原理和通過閾值化處理實現濾波的具體方法;探討了用小波變換進行故障特徵提取的原理,說明了小波變換模極大值和信號突變點之間的關系以及怎樣用李氏指數來表徵突變點的性質。
  5. We apply the texture character of wavelet packet of the font to thr recognition

    提出了基於bp神經網路和子空間分類器串聯的綜合集成識別方法。
  6. Based on wavelet packet decomposition ( wpd ), entropy threshold method ( etm ) has been put forward to reject the discrete spectrum interference ( dsi ) in on - line pd monitoring

    首次提出用於抑制局部放電在線監測中周期性窄帶干擾的小波包變換熵閾值法( etm ) 。
  7. In order to reduce the musical residual noise and the background noise, a speech enhancement method based on masking properties of the human auditory system is described. this method uses bark wavelet packet transform to simulate the frequency feature of human auditory model to get the threshold

    本文以最大限度減少殘留噪聲和背景噪聲為目的,採用bark子波分析的方法模擬人耳基底膜的頻率分析特性來進行語音增強,重點進行模擬人耳聽覺掩蔽效應來確定除噪閾值的研究。
  8. Wavelet packet transform is used to improve the snr of the incoherent integral radar echo, and bispectrum algorithm is used for signal detection in this united detecting algorithm, based on the modeling for the through - wall radar echo

    在對穿墻雷達回波信號建模的基礎上,用聯合演算法將非相干累積后的回波信號經過小波包變換提高信噪比,再用雙譜演算法進行信號檢測。
  9. 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
  10. This paper is introduced bp neutral network character, algorithm, designing principal on its construction and the designed product. input features extracted by the way described above into a bp neutral network, and using it to classify seven type of different carburized layer depth specimen. the result is indicated, using wavelet packet method to extract features and bp neutral network to classifying, is effective and precise to classify different metal carburized layer depth. it is useful and economical

    本文介紹了bp神經網路的特點、演算法和其結構的具體設計方法和設計結果,並將小波包提取的特徵值輸入到bp網路,對7種不同滲碳層深度的試件進行分類,實驗結果表明,小波特徵值提取和bp神經網路分類器相結合,可以實現對不同滲碳層深度的分類,效果良好,精度較高,有一定的實用價值。
  11. A dual decomposition algorithm for turbulent wake flows after blunt bodies using the wavelet packet method

    鈍體尾流的雙重小波包分解
  12. In this way it. combines fast diagnosis ability of wavelet packet analysis with exploration ability of expert system with a sufficient, exertion of both advantages, increasing rapidity and veracity of fault diagnosis. 3

    這樣就把小波分析的快速診斷能力和故障診斷專家系統的解釋能力有機地結合起來,充分發揮了兩者的長處,提高了診斷的快速性和準確性。
  13. 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。
  14. The abrupt change informatiom can be obtained through decomposing and reconstruction of the vibrating signal by wavelet packet ; therefore the fault condition of the hydro - generator unit can confirm and provide decision support for diagnosing the vibration fault of the unit

    運用小波包分析對振動信號進行分解與重構,可以獲得振動信號的突變信息,即可以獲得機組振動的故障狀況,從而?診斷機組振動的故障狀況提供決策支援。
  15. The method using wavelet packet analysis is proposed to extract fault information from vibration signal obtained from testing jig of tilting train. the vector comprised of the energy of signal in all spectrum bands is input to a feed forward neural network

    利用小波包分析,將擺式車體試驗臺上採集到的振動加速度信號分解在相互獨立的頻帶之p內,各頻帶內的能量值形成一個向量,將其作為神經網路的輸入特徵向量, 。
  16. Fault diagnosis of a bend axis piston pump by wavelet packet and neural networks

    神經網路在斜軸泵故障診斷中的應用研究
  17. This paper introduce the basically structure principle of wavelet packet and discusses the feasibility of the application that wavelet packet analysis method on line protection

    摘要介紹小波包的基本構造原理,討論了小波包分析方法在電力系統中故障類型判別中的應用。
  18. De - noising of image based on wavelet packet transform

    基於小波包的圖像去噪方法
  19. Application of wavelet packet in motor fault diagnosis

    小波包在電機故障診斷中的應用
  20. Fault diagnosis based on wavelet packet transform

    基於小波包變換的故障診斷
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