2dFFT of the Nyquist frequency, (for the sampling interval) is actually the FFT, the n number of points required for the power of 2, the frequency corresponding to each point is to, find, you can use the FFT, where N points. Such as the transformation point to 2048, due to the symmetry, the actual useful points to 1024. In the process, done after the Fourier transform has the data in accordance with the frequency range from 0 to 0 in order to line up. In the run results, only the lower left corner of the store 1/4 of regional data can be.

FFT2D
.....\CalFFT2d.cpp
.....\csp.h
.....\Debug
.....\.....\01884M21.DAT
.....\.....\CalFFT2d.obj
.....\.....\fft.obj
.....\.....\FFT2D.exe
.....\.....\FFT2D.obj
.....\.....\FFT2D.pdb
.....\.....\figured.m
.....\.....\out.txt
.....\.....\StdAfx.obj
.....\.....\vc60.pdb
.....\fft.cpp
.....\fft.h
.....\FFT2D.cpp
.....\FFT2D.dsp
.....\FFT2D.dsw
.....\fft2d.h
.....\FFT2D.ncb
.....\FFT2D.opt
.....\FFT2D.plg
.....\out.txt
.....\ReadMe.txt
.....\StdAfx.cpp
.....\StdAfx.h
.....\关于FFT的说明.doc
.....\关于FFT的说明.docx

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