“2DFT”是“Two-Dimensional Fourier Transform”的缩写,意思是“二维傅立叶变换”


    英语缩略词“2DFT”经常作为“Two-Dimensional Fourier Transform”的缩写来使用,中文表示:“二维傅立叶变换”。本文将详细介绍英语缩写词2DFT所代表英文单词,其对应的中文拼音、详细解释以及在英语中的流行度。此外,还有关于缩略词2DFT的分类、应用领域及相关应用示例等。
    “2DFT”(“二维傅立叶变换)释义
  • 英文缩写词:2DFT
  • 英文单词:Two-Dimensional Fourier Transform
  • 缩写词中文简要解释:二维傅立叶变换
  • 中文拼音:èr wéi fù lì yè biàn huàn
  • 缩写词分类:Academic & Science
  • 缩写词领域:Mathematics

    以上为Two-Dimensional Fourier Transform英文缩略词2DFT的中文解释,以及该英文缩写在英语的流行度、分类和应用领域方面的信息。
     英文缩略词2DFT的扩展资料
  1. In this algorithm the target scattering function could be reconstructed from the echo data via coordinate conversion, two-dimensional interpolation and two-dimensional Fourier transform.
        该算法通过接收来自多个外辐射源的回波数据,经过坐标变换和二维插值运算,直接在接收数据空间利用二维傅里叶变换重建目标的散射函数分布。
  2. An imaging algorithm based on two-dimensional Fourier transform is proposed.
        在此基础上,提出了一种基于二维傅立叶变换(2DFT)的无源雷达成像算法。
  3. This paper has discussed the method and the principle of determining the fabric density with computer image processing methods including one-dimensional Fourier transform, two-dimensional Fourier transform and wavelet transform, etc. A kind of fast and reliable method of determining fabric density has been found.
        文章讨论了用一维傅立叶变换、二维傅立叶变换(2DFT)和小波变换等图像处理技术检测织物经纬密度的原理和方法,找到了一种快速、可靠的织物经纬密度的检测方法。
  4. In this paper, we discussed several examples of application of two-dimensional Fourier transforms and spatial filtering analysis in vision research. ( 1 ) Two-dimensional Fourier transform, The " pincushion illusion " is discussed more extensively.
        在本文中,我们介绍了一些傅里叶变换和空间滤波技术在视觉研究中的应用,即1.二维付里叶变换,主要介绍了枕形错觉,指出此错觉是由于视觉系统的二维空间滤波产生的。
  5. Because one-dimensional filter can not meet the requirements of two-dimensional data processing, the introduction of two-dimensional Fourier transform. two-dimensional seismic data will be transformed into the frequency - wavenumber domain.
        由于一维滤波不能满足二维数据处理的要求,引入二维傅里叶变换,将二维地震数据变换到频率-波数域进行处理。

    上述内容是“Two-Dimensional Fourier Transform”作为“2DFT”的缩写,解释为“二维傅立叶变换”时的信息,以及英语缩略词2DFT所代表的英文单词,其对应的中文拼音、详细解释以及在英语中的流行度和相关分类、应用领域及应用示例等。