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平滑函数的英文

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"平滑函数"怎么读用"平滑函数"造句

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  • smooth function

例句与用法

  • You can see that the smooth noise is flatter , never reaching the extremes of unsmoothed noise , and the frequency appears to be roughly half
    你可以看见平滑函数,从来都没有到底那个未平滑函数的极限值,并且频率显得只有大约一半。
  • Without blending processing , there must be cracks in the mosaics . so we must find out a good blending function to erase those cracks
    如果没有平滑处理,那么我们得到的拼接图像将会有明显的缝隙,所以必须寻找一个良好的平滑函数以消除这种缝隙。
  • On the right , you can see a little diagram illustrating the difference between smoothed noise , and the same noise function without smoothing
    在右面(这里看下面) ,你可以看见一个小的图展示了不同平滑函数的区别,和同样的一个噪声但未进行平滑处理。
  • Now , if you take lots of such smooth functions , with various frequencies and amplitudes , you can add them all together to create a nice noisy function
    现在,如果你使用很多平滑函数,分别拥有各种各样的频率和振幅,你可以把他们叠加在一起来创建一个漂亮的噪声函数。
  • We show that uniqueness of the solution to the learning problem in the case of regression can be restored by appropriately restricting the space of the admissible solutions to sufficiently smooth functions
    并证明如何利用适当的控制平滑函数来反推回归式学习问题的解法的独特性。
  • Here , we list kinds of blending function , and make compare with each other . finally , we choose the nearest image center blending function as our blending function , which produces good result
    我们分别列举了几种平滑函数,并一一作了比较,最后我们选择最近图像中心函数作为平滑函数,取得了满意的效果。
  • Then , a new regularized conjugate - gradient reconstruction algorithm was proposed for optical tomograpy , in which the ill - posedness of the reconstruction problem and as a result the quality of the reconstructed image are improved by introducing two regularization terms of image entropy and the local smoothing function
    其次,提出了一种正则化共轭梯度ot图像重建算法,通过引入图像熵和局部平滑函数作为正则化项有效改善了重建问题中的病态特性,提高重建图像的质量。最后,提出一种多分辨率的ot图像重建算法。
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