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/* Copyright (c) 2013 Julien Pommier ( pommier@modartt.com )
Based on original fortran 77 code from FFTPACKv4 from NETLIB,
authored by Dr Paul Swarztrauber of NCAR, in 1985.
As confirmed by the NCAR fftpack software curators, the following
FFTPACKv5 license applies to FFTPACKv4 sources. My changes are
released under the same terms.
FFTPACK license:
http://www.cisl.ucar.edu/css/software/fftpack5/ftpk.html
Copyright (c) 2004 the University Corporation for Atmospheric
Research ("UCAR"). All rights reserved. Developed by NCAR's
Computational and Information Systems Laboratory, UCAR,
www.cisl.ucar.edu.
Redistribution and use of the Software in source and binary forms,
with or without modification, is permitted provided that the
following conditions are met:
- Neither the names of NCAR's Computational and Information Systems
Laboratory, the University Corporation for Atmospheric Research,
nor the names of its sponsors or contributors may be used to
endorse or promote products derived from this Software without
specific prior written permission.
- Redistributions of source code must retain the above copyright
notices, this list of conditions, and the disclaimer below.
- Redistributions in binary form must reproduce the above copyright
notice, this list of conditions, and the disclaimer below in the
documentation and/or other materials provided with the
distribution.
THIS SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND,
EXPRESS OR IMPLIED, INCLUDING, BUT NOT LIMITED TO THE WARRANTIES OF
MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND
NONINFRINGEMENT. IN NO EVENT SHALL THE CONTRIBUTORS OR COPYRIGHT
HOLDERS BE LIABLE FOR ANY CLAIM, INDIRECT, INCIDENTAL, SPECIAL,
EXEMPLARY, OR CONSEQUENTIAL DAMAGES OR OTHER LIABILITY, WHETHER IN AN
ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN
CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS WITH THE
SOFTWARE.
*/
/* PFFFT : a Pretty Fast FFT.
*
* This is basically an adaptation of the single precision fftpack (v4) as
* found on netlib taking advantage of SIMD instructions found on CPUs such as
* Intel x86 (SSE1), PowerPC (Altivec), and Arm (NEON).
*
* For architectures where SIMD instructions aren't available, the code falls
* back to a scalar version.
*
* Restrictions:
*
* - 1D transforms only, with 32-bit single precision.
*
* - supports only transforms for inputs of length N of the form
* N=(2^a)*(3^b)*(5^c), given a >= 5, b >=0, c >= 0 (32, 48, 64, 96, 128, 144,
* 160, etc are all acceptable lengths). Performance is best for 128<=N<=8192.
*
* - all (float*) pointers for the functions below are expected to have a
* "SIMD-compatible" alignment, that is 16 bytes.
*
* You can allocate such buffers with the pffft_aligned_malloc function, and
* deallocate them with pffft_aligned_free (or with stuff like posix_memalign,
* aligned_alloc, etc).
*
* Note that for the z-domain data of real transforms, when in the canonical
* order (as interleaved complex numbers) both 0-frequency and half-frequency
* components, which are real, are assembled in the first entry as
* F(0)+i*F(n/2+1). The original fftpack placed F(n/2+1) at the end of the
* arrays instead.
*/
#ifndef PFFFT_H
#define PFFFT_H
#include <stddef.h> // for size_t
#include <stdint.h>
#ifdef __cplusplus
extern "C" {
#endif
/* opaque struct holding internal stuff (precomputed twiddle factors) this
* struct can be shared by many threads as it contains only read-only data.
*/
typedef struct PFFFT_Setup PFFFT_Setup;
#ifndef PFFFT_COMMON_ENUMS
#define PFFFT_COMMON_ENUMS
/* direction of the transform */
typedef enum { PFFFT_FORWARD, PFFFT_BACKWARD } pffft_direction_t;
/* type of transform */
typedef enum { PFFFT_REAL, PFFFT_COMPLEX } pffft_transform_t;
#endif
/**
* Prepare for performing transforms of size N -- the returned PFFFT_Setup
* structure is read-only so it can safely be shared by multiple concurrent
* threads.
*/
PFFFT_Setup *pffft_new_setup(unsigned int N, pffft_transform_t transform);
void pffft_destroy_setup(PFFFT_Setup *setup);
/**
* Perform a Fourier transform. The z-domain data is stored in the most
* efficient order for transforming back or using for convolution, and as
* such, there's no guarantee to the order of the values. If you need to have
* its content sorted in the usual way, that is as an array of interleaved
* complex numbers, either use pffft_transform_ordered, or call pffft_zreorder
* after the forward fft and before the backward fft.
*
* Transforms are not scaled: PFFFT_BACKWARD(PFFFT_FORWARD(x)) = N*x. Typically
* you will want to scale the backward transform by 1/N.
*
* The 'work' pointer must point to an area of N (2*N for complex fft) floats,
* properly aligned. It cannot be NULL.
*
* The input and output parameters may alias.
*/
void pffft_transform(const PFFFT_Setup *setup, const float *input, float *output, float *work, pffft_direction_t direction);
/**
* Similar to pffft_transform, but handles the complex values in the usual form
* (interleaved complex numbers). This is similar to calling
* pffft_transform(..., PFFFT_FORWARD) followed by
* pffft_zreorder(..., PFFFT_FORWARD), or
* pffft_zreorder(..., PFFFT_BACKWARD) followed by
* pffft_transform(..., PFFFT_BACKWARD), for the given direction.
*
* The input and output parameters may alias.
*/
void pffft_transform_ordered(const PFFFT_Setup *setup, const float *input, float *output, float *work, pffft_direction_t direction);
/**
* Reorder the z-domain data. For PFFFT_FORWARD, it reorders from the internal
* representation to the "canonical" order (as interleaved complex numbers).
* For PFFFT_BACKWARD, it reorders from the canonical order to the internal
* order suitable for pffft_transform(..., PFFFT_BACKWARD) or
* pffft_zconvolve_accumulate.
*
* The input and output parameters should not alias.
*/
void pffft_zreorder(const PFFFT_Setup *setup, const float *input, float *output, pffft_direction_t direction);
/**
* Perform a multiplication of the z-domain data in dft_a and dft_b, and scale
* and accumulate into dft_ab. The arrays should have been obtained with
* pffft_transform(..., PFFFT_FORWARD) or pffft_zreorder(..., PFFFT_BACKWARD)
* and should *not* be in the usual order (otherwise just perform the operation
* yourself as the dft coeffs are stored as interleaved complex numbers).
*
* The operation performed is: dft_ab += (dft_a * dft_b)*scaling
*
* The dft_a, dft_b, and dft_ab parameters may alias.
*/
void pffft_zconvolve_scale_accumulate(const PFFFT_Setup *setup, const float *dft_a, const float *dft_b, float *dft_ab, float scaling);
/**
* Perform a multiplication of the z-domain data in dft_a and dft_b, and
* accumulate into dft_ab.
*
* The operation performed is: dft_ab += dft_a * dft_b
*
* The dft_a, dft_b, and dft_ab parameters may alias.
*/
void pffft_zconvolve_accumulate(const PFFFT_Setup *setup, const float *dft_a, const float *dft_b, float *dft_ab);
/**
* The float buffers must have the correct alignment (16-byte boundary on intel
* and powerpc). This function may be used to obtain such correctly aligned
* buffers.
*/
void *pffft_aligned_malloc(size_t nb_bytes);
void pffft_aligned_free(void *ptr);
/* Return 4 or 1 depending if vectorization was enable when building pffft.cpp. */
int pffft_simd_size();
#ifdef __cplusplus
}
#endif
#endif // PFFFT_H
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