#cdf-show-file.cdf-text { top:105px; } .ObsBanner {color:black; width:430px; padding-left:7px; padding-right:7px; padding-top:6px; padding-bottom:6px; position:absolute; left:180px; top:125px; font-size:10px; font-weight:normal; font-family:Verdana, Arial, Helvetica, sans-serif; font-stretch:narrow; background:#fffdc8; border:solid 2px #ffbb33; line-height:16px; z-index:3;} .ObsBanner a:link {font-weight:bold; color:#cc6600;} .ObsBanner a:hover {font-weight:bold; color:#cc6600;} .ObsBanner a:visited {font-weight:bold; color:#cc6600;} THIS IS DOCUMENTATION FOR AN OBSOLETE PRODUCT. SEE THE DOCUMENTATION CENTER FOR THE LATEST INFORMATION.

# CUDAFourier

 CUDAFourier[list] finds the discrete Fourier transform of a list of complex numbers. CUDAFourier[mem]finds the discrete Fourier transform of a CUDAMemory.
• The CUDALink application must be loaded using Needs.
• works on one-, two-, and three-dimensional lists.
 例   (3)
This generates a random list of reals:
This computes the one-dimensional Fourier transform using CUDA:
The result agrees with Mathematica:
works on two-dimensional datasets. Here, a dataset is generated:
Find the logarithmic power spectrum:
can be used on multidimensional datasets. This gets the data from an image:
This performs the Fourier operation:
This shows the absolute value of the result:
This generates a random list of reals:
This computes the one-dimensional Fourier transform using CUDA:
 Out[3]=
The result agrees with Mathematica:
 Out[4]=

works on two-dimensional datasets. Here, a dataset is generated:
Find the logarithmic power spectrum:
 Out[2]=

can be used on multidimensional datasets. This gets the data from an image:
This performs the Fourier operation:
This shows the absolute value of the result:
 Out[3]=
Find the Fourier transform of the rule 30 cellular automaton pattern:
Logarithmic power spectrum:
 使用条款  • 隐私政策  • 网站索引 选择语言