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scaling invariance中文翻譯

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用"scaling invariance"造句"scaling invariance"怎麼讀
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  • 標度無關性
例句與用法
  • This method is also translation - rotation - scale invariance and the effect of identification is good , which is provided by experimentations
    該方法具有尺寸、旋轉和平移不變性,在識別過程中獲得了很好的效果。
  • Muscles also exhibit the property of scale invariance : their mechanism works equally efficiently at all sizes , which is why fundamentally the same muscle tissue powers both insects and elephants
    肌肉還具有尺度不變性:其運作機制在不同的尺度下都運作得一樣好,這就是為什麼基本上同樣的肌肉組織可以驅動昆蟲,也能驅動大象。
  • The central complex moment is defined , and complex moment based moment invariants are proposed . the translation , rotation and scaling invariance of moment invariants is discussed using the central complex moments
    摘要定義了中心復數矩,提出了基于中心復數矩的不變矩表示,進而討論了離散情況下不變矩的平移、旋轉及尺度不變性,給出了理論分析結果,并用實驗進行了驗證。
  • Figure with double logarithm is adopted , hi this way all data points distribute around a straight line with non - zero slope . in a figure with double logarithm coordinates , straight line means the scale invariance of relative fluctuations , i . e . no scale seems special
    雙對數坐標系里的直線意味著相對起伏變量的標度不變性,即:在任何標d碩士學住論文q一少” r廠sumis度上都沒有什么特征使這個標度顯得特別。
  • The feature parameter extraction methods of the underwater target are studied which can improve the performance of the underwater acoustic countermeasure equipments . several feature extraction methods such as the scale invariance feature extraction , target pole extraction fourier - mellin transform etc are investigated by computer simulations . the experimental results demonstrated the efficiency of these feature extraction methods in the applications of underwater target recognition
    對多種特征提取方法如目標相對不變尺度特征提取、目標極點特征提取、目標信號的傅里葉?梅林變換特征提取等進行了仿真研究,結果表明了這些特征參數提取方法的有效性,具有良好的應用前景。
  • The template - based method has the ability of resistance noise and translation invariance and scaling invariance , although the computation is relative more . the feature methods need to select the most effective feature from the numerous features of object , and the method usually includes two phases : feature extraction and feature selection
    基于模板的方法抗噪性能強、具有平移、尺度等不變性,但是計算量相對較大;基于特征的方法需要從目標的眾多特征中選擇出那些對分類識別最有效的特征,通常包括兩個階段:特征提取和特征選擇。
  • 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” .然后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,并給出了計算自適應小波變換系數(稱為小波不變矩)的一種有效算法.對二維數字信號(圖像)的實驗證實了我們的結論
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