adaptive wavelet 中文意思是什麼

adaptive wavelet 解釋
適應子波
  • adaptive : adj. 適合的,適應的。
  • wavelet : 小浪;【物理學】子波,弱波,小波,基元波,成分波。
  1. An adaptive wavelet network classifier for vibration fault diagnosis of steam turbine - generation is proposed based on theory of adap tive wavelet network ( awn )

    基於自適應小波網路理論,構造了一個應用於汽輪發電機組振動故障診斷與識別的自適應小波網路分類器。
  2. In order to satisfy the veracity and the robustness against time - variable noise of the aoct, a new square root kalman adaptive filter arithmetic with time - variable noise statistic is presented in this paper. in addition, the wavelet analysis is applied to inspect the singularity of the measured current, and an adaptive signal - noise decomposer for aoct is designed

    為了滿足aoct自適應控制的準確性和時變噪聲魯棒性的要求,論文將kalman濾波理論引入到自適應濾波中,並應用矩陣理論提出了一種新的時變噪聲統計的平方根kalman自適應演算法。
  3. 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
  4. A iterative adaptive algorithm for image denoising based on wavelet

    一種基於小波變換的迭代自適應圖像除噪演算法
  5. For real world implementation of wavelet theory, we mainly focus on the selection of suitable wavelet bases and related algorithm applied in the following different aspects : in this paper, the selection of wavelet basis function is presented in detail through the investigation of traditional selection of wavelet basis and the theory of lifting scheme, an adaptive wavelet transform is put forward, and the adaptation is come from adaptive choosing between a class of linear predictors within the lifting framework according to the local gradient of the signal. we investigate the central issues such as the structure of adaptive frame and the calculation of corresponding wavelet basis function

    對于小波的應用性研究,針對實際應用,主要對其基函數選取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,首先對基函數的選取進行了詳細的研究,通過對經典的小波函數選取方法的研究,並在對經典小波變換和提升框架的基礎理論上,提出了利用提升框架並根據信號的局部特徵自適應選取小波基,探討了自適應框架的結構以及相應的小波基函數的計算。
  6. Starting from compressed file, the video data passed huffman decoder, run length decoder, inverse adaptive quantilizer and inverse transform of wavelet

    從壓縮文件輸入開始,經過了霍夫曼解碼、遊程解碼、自適應量化的逆變換、小波逆變換。
  7. The results show that the self - adaptive filter can be used to detect line spectrum, the wavelet transform and the fourier transform can be used to detect the ship noise in modulating the anisotropic noise field

    結果表明:自適應濾波對于各向異性噪聲場中的線譜檢測有良好的效果;而小波變換和短時傅里葉變換對各向異性噪聲場中的艦船噪聲調制信號檢測有良好的效果。
  8. It is well known that the wavelet liner approximation ( i. e, truncating the high frequencies ) can be approximate smooth singals very efficiently. however, for example, piecewise continous signals with large jump in signal value or in its derivatives, standard wavelet linear approximation techniques cannot achieve similar results for signals which are not smooth. to overcome these problems within the standard wavelet transform framework, the paper proposed the double adaptive wavelet transforms

    眾所周知,小波的線性近似(只用低頻系數而不採用高頻系數進行重構的方法稱為線性近似)能非常有效的近似初始的光滑信號。然而對于非光滑信號,例如具有跳變點的分段連續信號,標準小波的線性近似就不能獲得如光滑函數那樣好的結果。
  9. A multiuser detection method based on adaptive wavelet network is proposed. this method can effectively eliminate mai and white noise. a novel space - time matched filter combined with adaptive wavelet network in asynchronous multipath cdma channels is proposed

    提出了基於自適應子波網路與空時匹配濾波方法,這種方法使用子波網路對陣列天線波束形成之後的輸出進行后續處理,是一種單用戶的檢測方法。
  10. De - noising method based on adaptive wavelet thresholding

    基於小波自適應閾值的圖像去噪方法
  11. In this paper, we propose an adaptive wavelet transform which possess the properties of translation and scale invariance. firstly, the original signal is adaptively renormalized using a scale function of an orthonomal wavelet and the first two moments of the signal. then, we decompose the renomalized signal according to the conventional discrete wavelet transform. as we prove, this adaptive wavelet transform is translation - and scale - invariant, and an efficient algorithm for calculating these wavelet coefficients, called adaptive wavelet invariant moments, is proposed. finally, we give experiment results for 2 - dimension digital signals ( images ) to verify our conclusion

    本文提出了一種具有平移和尺度不變性的自適應小波分解新方法,該方法利用信號的一階、二階矩及正交小波尺度函數,先對信號進行自適應小波「重整」 .然後再對重整后的信號進行普通小波變換.本文證明這種自適應小波變換是平移和尺度不變的,並給出了計算自適應小波變換系數(稱為小波不變矩)的一種有效演算法.對二維數字信號(圖像)的實驗證實了我們的結論
  12. Adaptive wavelet transform using signal correlation detecting and its application

    採用立體編織工藝構造人工骨仿生微結構
  13. In the presence of additive white gaussian noise, an adaptive wavelet - based de - noising algorithm for speech enhancement applications is proposed

    針對加性高斯白噪聲的情況,提出一種自適應小波降噪演算法,用於語音信號的增強。
  14. Fault classfication based on adaptive wavelet - based neural network

    基於自適應小波神經網路的故障分類
  15. Rotating machinery fault diagnosis using adaptive wavelet analysis

    自適應小波分析應用於回轉機械設備的故障診斷
  16. Through analyzing the shortcomings of the liner filter, the adaptive wavelet based on lifting scheme is induced and studied

    然後通過分析線性濾波器的不足,展開了對自適應提升小波的分析研究。
  17. An algorithm for constructing adaptive wavelet filters was proposed, and applied to multivariate calibration of the near infrared ( nir ) spectra

    摘要實現了一種構建自適應小波濾波器的方法,並將其用於近紅外光譜數據的多元校正。
  18. To solve this problem, we have studied the theory of adaptive wavelet transform via lifting and the application in the image compression

    針對這個問題,並且結合提升方案的優勢,本文研究了基於提升方案的自適應小波及其在圖像壓縮中的應用。
  19. 5. have put forward the idea of constructing adaptive wavelet transform to adapt to an image ' s local characters, given two methods of constructing adaptive wavelet and analyzed the performance of adaptive wavelets in image compression

    ( 5 )提出了構造自適應小波變換以適應圖像局部特徵的思想,給出了兩種自適應小波的構造方法,並分析了所構造小波在圖像壓縮中的性能。
  20. The applied of demodulation with esa is advanced with which diagnosis precision has been improved, and real time diagnosis and accuracy ratio are satisfied on bearing production line. automatic classification model using integration of adaptive wavelet transform network and self - organizing feature map network is introduced. the strong suits of wavelet and neural network are made use of in this model and bearing fault classification is realized automatically

    第三章提出了一種自適應小波變換網路與自組織特徵映射網路( self - organizingfeaturemapnetwork - somn )集成的故障自動分類模型,該模型把小波的時頻局部化優點與神經網路的自學習、非線性映射能力有機結合起來,把高維測量空間中的非平穩信號復雜信息映射到易於分類的二維空間,實現了軸承故障自動分類。
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