Showing content from https://arrayfire.org/docs/group__signal__func__fft3.htm below:
ArrayFire: fft3
Fast Fourier Transform. More...
AFAPI array fft3Norm (const array &in, const double norm_factor, const dim_t odim0=0, const dim_t odim1=0, const dim_t odim2=0) C++ Interface for fast fourier transform on three dimensional signals. More...
AFAPI void fft3InPlace (array &in, const double norm_factor=1.0) C++ Interface for fast fourier transform on three dimensional signals. More...
AFAPI array fft3 (const array &in, const dim_t odim0=0, const dim_t odim1=0, const dim_t odim2=0) C++ Interface for fast fourier transform on three dimensional signals. More...
AFAPI af_err af_fft3 (af_array *out, const af_array in, const double norm_factor, const dim_t odim0, const dim_t odim1, const dim_t odim2) C Interface for fast fourier transform on three dimensional signals. More...
AFAPI af_err af_fft3_inplace (af_array in, const double norm_factor) C Interface for fast fourier transform on three dimensional signals. More...
Fast Fourier Transform.
The Fast Fourier Transform (FFT) is an efficient algorithm to compute the discrete Fourier transform (DFT) of a signal or array. This is most commonly used to convert data in the time (or space) domain to the frequency domain, Then, the inverse FFT (iFFT) is used to return the data to the original domain.
There are numerous algorithms to compute the FFT of an array, and the specifics of the algorithm depend on the target hardware. Most algorithms, however, use a Cooley-Tukey scheme in a divide-and-conquer approach.
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Note
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There are some convenience functions provided for fft where normalization factor is not required as input paramter. In such cases, the normalization factor is calculated internally based on the input data provided.
◆ af_fft3()
C Interface for fast fourier transform on three dimensional signals.
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Parameters
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[out] out is the transformed array [in] in is the input array [in] norm_factor is the normalization factor with which the input is scaled after the transformation is applied [in] odim0 is the length of output signals along first dimension - used to either truncate/pad the input [in] odim1 is the length of output signals along second dimension - used to either truncate/pad the input [in] odim2 is the length of output signals along third dimension - used to either truncate/pad the input
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Returns
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AF_SUCCESS if the fft transform is successful, otherwise an appropriate error code is returned.
◆ af_fft3_inplace()
C Interface for fast fourier transform on three dimensional signals.
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Parameters
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[in,out] in is the input array on entry and the output of 3D forward fourier transform on exit [in] norm_factor is the normalization factor with which the input is scaled after the transformation is applied
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Returns
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AF_SUCCESS if the fft transform is successful, otherwise an appropriate error code is returned.
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Note
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The input
must
be a complex array
◆ fft3()
C++ Interface for fast fourier transform on three dimensional signals.
This version of fft function uses a default norm_factor parameter that is calculated internally based on the input signals.
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Parameters
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[in] in is the input array [in] odim0 is the length of output signals along first dimension - used to either truncate/pad the input [in] odim1 is the length of output signals along second dimension - used to either truncate/pad the input [in] odim2 is the length of output signals along third dimension - used to either truncate/pad the input
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Returns
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the transformed array
◆ fft3InPlace() AFAPI void fft3InPlace ( array & in, const double norm_factor = 1.0
)
C++ Interface for fast fourier transform on three dimensional signals.
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Parameters
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[in,out] in is the input array on entry and the output of 3D forward fourier transform on exit [in] norm_factor is the normalization factor with which the input is scaled after the transformation is applied
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Note
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The input
in
must be complex
◆ fft3Norm()
C++ Interface for fast fourier transform on three dimensional signals.
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Parameters
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[in] in is the input array and the output of 1D fourier transform on exit [in] norm_factor is the normalization factor with which the input is scaled after the transformation is applied [in] odim0 is the length of output signals along first dimension - used to either truncate/pad the input [in] odim1 is the length of output signals along second dimension - used to either truncate/pad the input [in] odim2 is the length of output signals along third dimension - used to either truncate/pad the input
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Returns
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the transformed array
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