donoho 中文意思是什麼

donoho 解釋
多諾霍
  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. In this paper, we establish a visual model in ridgelet transform domain, and a new perceptual watermarking algorithm in the ridgelet domain is proposed. the ridgelet transform ( candes and donoho, 1999 ) was introduced as a new efficient multi - scale representation for functions that are smooth away from discontinuities along lines

    論文從數字水印發展的現狀出發,對數字水印技術的發展、數字水印技術的基本原理及其通用模型、數字水印技術主要應用的領域及其性能要求、數字水印的分類與典型演算法等多個角度進行了綜述。
  3. 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。
  4. Donoho and johnstone proposed a new way to denoise the noisy signal and images : “ wavelet shrinkage ”

    Donoho和johnstone在1992年提出了「小波收縮」方法。
  5. 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。
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