modified wavelet 中文意思是什麼

modified wavelet 解釋
改進型小波
  • modified : 變更的
  • wavelet : 小浪;【物理學】子波,弱波,小波,基元波,成分波。
  1. Output can be obtain, next we use our designed the wavelet soft threshold to select result of the wavelet transform, finally, we give the selected result reversal wavelet transform. it is obvious : the wavelet soft threshold is important to improve the quality of the gray image processing. i give the donoho wavelet soft threshold a modified value method, which has a relation with ratio of signal - noise. i made full use of discrete hop field single feedback neural network, and nonlinear steady of automatic system at last, i obtained a steady limited ring, give the energy function an order differential a optimal

    我的思路是:改造現有圖形結構,先建立能反映信噪比大小且含待定參數k的表達式,然後通過離散型h0pfi舊單層反饋神經網路,再結合前邊的混合濾波器構成一個非線性控制系統,寫出對應的網路函數,利用相平面法和李雅普諾大穩定性的判據,得到一個穩定的極限環,從而確定出參數卜的范圍,進而再對原來的小波軟閾值進行修正,用修正後的值作為小波閾值。
  2. According to the different characteristics between signal and noise on wavelet transform domain, also considering the voiced and unvoiced speech has different features, a modified method of speech denoising which is using a changing threshold at different scales is proposed

    摘要分析了信號和噪聲在小波域的不同特徵表現,並根據語音中濁音和清音的特點,提出了一種改進的多尺度多閾值的小波域語音去噪方法。
  3. The new method is a modified pts method, and can make good compromise between performance and computational complexity. the dissertation explores, by means of computer simulation, how the conventional method based on amplitude - limiting and filtering affects the performances of wavelet packet modulation signals, and presents a new method, namely, selective mapping / amplitude limiting / filtering method, which proves to be effective, simple, and have better ber performance

    並基於自子波變換和時間、尺度解析度的概念,從理論和模擬實驗兩方面對通道建模和時間/尺度rake接收機進行了分析,並與傳統的kake接收機進行了比較,結果表明時間/尺度聯合分集能有效地克服高速衰落多徑通道的影響。
  4. So the result is more accurate than old methods. the result of structural energy response based on wavelet provides a practicable method for structure design and design energy dissipation system in structure, this chapter ' s analysis and contrast tell us littlewood - paley wavelet is not suitable for analyzing energy of earthquake ground motion and structural energy response. on the purpose of calculating energy, meyer wavelet must be modified so that its frequency integral is a constant, the result of energy by modified meyer wavelet and harmonic wavelet is practicable, only the later is bigger but in the same energy level

    通過三種小波基( littlewood ? paley小波、 meyer小波、諧波小波)下的地震地面運動能量分析以及結構地震能量反應分析說明:直接通過加速度記錄可以求得地震動能量,由於小波系數中同時含有時域和頻域的能量,由此得出的能量比以往的方法更準確;在此基礎上求得了結構的能量反應時程,為結構設計及結構中設計耗能體系提供了具體的方法;通過這一章對比分析得出, littlewood ? paley小波不適合於作地震動能量分析和結構能量反應分析。
  5. First, method for initialization of wavelet basis in wavelet frames is proposed ; second, according to the data distribution, a modified method for rough selection of wavelet basis is given ; and the last, an adaptive projection algorithm combined with aic criterion is used to purify the wavelet basis, meanwhile finishing the parameters identification

    首先在小波框架內提出一種小波基初始化方法;然後根據樣本的分佈特點,提出一種改進的小波基粗選方法;最後將自適應投影演算法與aic準則相結合,對小波基進行精選,同時完成網路參數的辨識。
  6. 1. a modified denoising method based on vc dimension and wavelet package is presented, improving the shortcomings of denoising methods based on empirical risk minimization and wavelets thresholds

    針對傳統的基於經驗風險最小化信號消噪方法和現有的小波閾值信號消噪方法的不足,基於統計學習理論,提出了一種改進的vc維小波包信號消噪方法。
  7. Due to the specialties of fault signals in missile fault diagnosis, we proposed a novel de - noising method applying wavelet analysis scale space filter by using the properties of the signal and noise modulus maxima across scales. and modified it by using information on neighboring coefficients into the decision making. this de - noising method can reduce noise to a high degree while preserving most of the important features of the signal such as edges and other singularities

    研究了小波理論在信號去噪方面的理論和演算法,並針對故障信號的特殊性,提出了基於小波變換模極大值理論的尺度相關信號去噪方法,並提出了改進方法,將臨近系數的信息也作為決策的依據,從而得到了既能保護信號的奇異性特徵,又可以取得較好信噪比的新的信號去噪方法,並將其應用於實際系統,取得了很好的效果。
  8. Without much theoretical deduction in this dissertation, we focus mainly on the several characteristics of wavelet, such as the localization in both the spatial and the frequency domain derived from the compact support in the two domains ; the rnultiresolution representation property ; and the octave divided frequency property, etc. after a brief overview of the principles and methods of image compression, video coding algorithms are introduced including 3 - d wavelet video coding and 2 - d wavelet video coding. based on the above, the research of this dissertation consists of three aspect : firstly, the 3d - spiht algorithm is modified which optimizes bit allocation

    具體說,本論文包括以下內容:首先,本文分析介紹了小波理論,文中沒有過多的理論推導,而是從小波具有的一些特性,如時頻局部性、多解析度分解特性和倍頻程頻帶分解特性入手,力求對小波變換有一個宏觀的了解。其次,介紹了基於小波的圖像編碼的原理和常用的編碼方法。最後,介紹了基於小波的視頻編碼的方法,一種是基於3 ? d小波視頻編碼,另一種是基於2 ? d的小波視頻編碼方法。
  9. The time - frequency of the wavelet transform and the signal wavelet decomposition - reconstruction algorithm based on the multi - resolution analysis are analyzed. the signal local singularity under the wavelet transform are studied. the difference between between mallat ' s maximun modulus algorithm and donoho ' s waveshrink algorithm are analyzed, too. the denoise effect of different threshold and threshold function are studied. base on compare the advantage and disadvantage of donoho & johnstone threshold and believing - region threshold, a modified algorithm is developed : combining threshold distinguishing and shield filter method

    討論了基於mallat理論最大模數方法以及基於donoho理論的閾值萎縮去噪方法的差別,研究比較了不同閾值規則與閾值函數對去噪效果的影響;在此基礎上,結合統一閾值和置信區間閾值各自的優缺點,提出閾值判別和屏蔽濾波相結合的方法。
  10. Finally, taking an typically actral use as an example, we analyze the real speech signals by using matlab ' s wavelet toolbox, and present a modified method of speech de - noising in wavelet domain for the noise pattern

    最後,我們採用實際中的一個典型的例子,利用matlab的小波分析工具箱研究分析了實際的語音信號,並根據信號的噪音模式,提出了一種改進的小波域語音去噪方法。
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