fftC2R

Complex to Real Fast Fourier Transform. More...

Functions
template<int rank>
array	fftC2R (const array &in, bool is_odd=false, const double norm_factor=1.0)
	C++ Interface for complex to real fast fourier transform. More...
AFAPI af_err	af_fft_c2r (af_array *out, const af_array in, const double norm_factor, const bool is_odd)
	C Interface for complex to real fast fourier transform for one dimensional signals. More...
AFAPI af_err	af_fft2_c2r (af_array *out, const af_array in, const double norm_factor, const bool is_odd)
	C Interface for complex to real fast fourier transform for two dimensional signals. More...
AFAPI af_err	af_fft3_c2r (af_array *out, const af_array in, const double norm_factor, const bool is_odd)
	C Interface for complex to real fast fourier transform for three dimensional signals. More...

Detailed Description

Complex to Real Fast Fourier Transform.

Function Documentation

af_fft2_c2r()

AFAPI af_err af_fft2_c2r	(	af_array *	out,
		const af_array	in,
		const double	norm_factor,
		const bool	is_odd
	)

C Interface for complex to real fast fourier transform for two dimensional signals.

Parameters

[out]	out	is a real array containing the output of the transform.
[in]	in	is a complex array containing only the non redundant parts of the signals.
[in]	norm_factor	is the normalization factor with which the input is scaled after the transformation is applied
[in]	is_odd	is a flag signifying if the output should be even or odd size

Returns

AF_SUCCESS if the fft transform is successful, otherwise an appropriate error code is returned.

Note

The first dimension of the output will be 2 * dim0 - 1 if is_odd is true else 2 * dim0 - 2 where dim0 is the first dimension of the input. The remaining dimensions are unchanged.

af_fft3_c2r()

AFAPI af_err af_fft3_c2r	(	af_array *	out,
		const af_array	in,
		const double	norm_factor,
		const bool	is_odd
	)

C Interface for complex to real fast fourier transform for three dimensional signals.

Parameters

[out]	out	is a real array containing the output of the transform.
[in]	in	is a complex array containing only the non redundant parts of the signals.
[in]	norm_factor	is the normalization factor with which the input is scaled after the transformation is applied
[in]	is_odd	is a flag signifying if the output should be even or odd size

Returns

AF_SUCCESS if the fft transform is successful, otherwise an appropriate error code is returned.

Note

The first dimension of the output will be 2 * dim0 - 1 if is_odd is true else 2 * dim0 - 2 where dim0 is the first dimension of the input. The remaining dimensions are unchanged.

af_fft_c2r()

AFAPI af_err af_fft_c2r	(	af_array *	out,
		const af_array	in,
		const double	norm_factor,
		const bool	is_odd
	)

C Interface for complex to real fast fourier transform for one dimensional signals.

Parameters

[out]	out	is a real array containing the output of the transform.
[in]	in	is a complex array containing only the non redundant parts of the signals.
[in]	norm_factor	is the normalization factor with which the input is scaled after the transformation is applied
[in]	is_odd	is a flag signifying if the output should be even or odd size

Returns

AF_SUCCESS if the fft transform is successful, otherwise an appropriate error code is returned.

Note

The first dimension of the output will be 2 * dim0 - 1 if is_odd is true else 2 * dim0 - 2 where dim0 is the first dimension of the input. The remaining dimensions are unchanged.

fftC2R()

array fftC2R	(	const array &	in,
		bool	is_odd = false,
		const double	norm_factor = 1.0
	)

C++ Interface for complex to real fast fourier transform.

Parameters

[in]	in	is a complex array containing only the non redundant parts of the signals
[in]	is_odd	is a flag signifying if the output should be even or odd size
[in]	norm_factor	is the normalization factor with which the input is scaled after the transformation is applied

Template Parameters

rank	signifies the dimensionality of the transform

Returns

A real array of size [2 * idim0 - 2 + is_odd, idim1, idim2, idim3] where idim{0,1,2,3} signify input dimensions