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3D FOURIER TRANSFORMS FOR IRREGULARLY SAMPLED DATA
3D FOURIER TRANSFORMS FOR IRREGULARLY SAMPLED DATA
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机译：用于不规则采样数据的3D Fourier变换
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摘要
A collected data is divided into M single valued subsets, where M is greater than zero. A two-dimensional subset image is formed from each single valued subset. Then, a fast Fourier transform is performed on each image to obtain a two-dimensional subset frequency space. Next, a one-dimensional discrete Fourier transform in z, where z is an integer equal to or greater than zero, is performed. Lastly, a two-dimensional discrete Fourier transform in (x,y) for each value of z is performed, thereby forming the three-dimensional volume from the collected data set.
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