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scaling invariance in Chinese

Pronunciation:
How to pronounce "scaling invariance""scaling invariance" in a sentence

Translationmobile phoneMobile

  • 標(biāo)度無(wú)關(guān)性

Examples

  • 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(zhuǎn)和平移不變性，在識(shí)別過(guò)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(yùn)作機(jī)制在不同的尺度下都運(yùn)作得一樣好，這就是為什麼基本上同樣的肌肉組織可以驅(qū)動(dòng)昆蟲(chóng)，也能驅(qū)動(dòng)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(fù)數(shù)矩，提出了基于中心復(fù)數(shù)矩的不變矩表示，進(jìn)而討論了離散情況下不變矩的平移、旋轉(zhuǎn)及尺度不變性，給出了理論分析結(jié)果，并用實(shí)驗(yàn)進(jìn)行了驗(yàn)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(duì)數(shù)坐標(biāo)系里的直線意味著相對(duì)起伏變量的標(biāo)度不變性，即：在任何標(biāo)d碩士學(xué)住論文q一少” r廠sumis度上都沒(méi)有什么特征使這個(gè)標(biāo)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(duì)多種特征提取方法如目標(biāo)相對(duì)不變尺度特征提取、目標(biāo)極點(diǎn)特征提取、目標(biāo)信號(hào)的傅里葉?梅林變換特征提取等進(jìn)行了仿真研究，結(jié)果表明了這些特征參數(shù)提取方法的有效性，具有良好的應(yīng)用前景。
  • 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(yīng)小波分解新方法，該方法利用信號(hào)的一階、二階矩及正交小波尺度函數(shù)，先對(duì)信號(hào)進(jìn)行自適應(yīng)小波“重整” .然后再對(duì)重整后的信號(hào)進(jìn)行普通小波變換.本文證明這種自適應(yīng)小波變換是平移和尺度不變的，并給出了計(jì)算自適應(yīng)小波變換系數(shù)(稱(chēng)為小波不變矩)的一種有效算法.對(duì)二維數(shù)字信號(hào)(圖像)的實(shí)驗(yàn)證實(shí)了我們的結(jié)論

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