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changed name from simple_fft_traits to ei_kissfft_impl
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95
unsupported/Eigen/FFT
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95
unsupported/Eigen/FFT
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// This file is part of Eigen, a lightweight C++ template library
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// for linear algebra. Eigen itself is part of the KDE project.
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//
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// Copyright (C) 2009 Mark Borgerding mark a borgerding net
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//
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// Eigen is free software; you can redistribute it and/or
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// modify it under the terms of the GNU Lesser General Public
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// License as published by the Free Software Foundation; either
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// version 3 of the License, or (at your option) any later version.
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//
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// Alternatively, you can redistribute it and/or
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// modify it under the terms of the GNU General Public License as
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// published by the Free Software Foundation; either version 2 of
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// the License, or (at your option) any later version.
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//
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// Eigen is distributed in the hope that it will be useful, but WITHOUT ANY
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// WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS
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// FOR A PARTICULAR PURPOSE. See the GNU Lesser General Public License or the
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// GNU General Public License for more details.
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//
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// You should have received a copy of the GNU Lesser General Public
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// License and a copy of the GNU General Public License along with
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// Eigen. If not, see <http://www.gnu.org/licenses/>.
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#ifndef EIGEN_FFT_H
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#define EIGEN_FFT_H
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// ei_kissfft_impl: small, free, reasonably efficient default, derived from kissfft
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#include "src/FFT/ei_kissfft_impl.h"
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#define DEFAULT_FFT_IMPL ei_kissfft_impl
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// FFTW: faster, GPL-not LGPL, bigger code size
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#ifdef FFTW_PATIENT // definition of FFTW_PATIENT indicates the caller has included fftw3.h, we can use FFTW routines
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// TODO
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// #include "src/FFT/ei_fftw_impl.h"
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// #define DEFAULT_FFT_IMPL ei_fftw_impl
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#endif
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// intel Math Kernel Library: fastest, commerical
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#ifdef _MKL_DFTI_H_ // mkl_dfti.h has been included, we can use MKL FFT routines
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// TODO
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// #include "src/FFT/ei_imkl_impl.h"
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// #define DEFAULT_FFT_IMPL ei_imkl_impl
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#endif
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namespace Eigen {
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template <typename _Scalar,
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typename _Traits=DEFAULT_FFT_IMPL<_Scalar>
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>
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class FFT
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{
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public:
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typedef _Traits traits_type;
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typedef typename traits_type::Scalar Scalar;
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typedef typename traits_type::Complex Complex;
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FFT(const traits_type & traits=traits_type() ) :m_traits(traits) { }
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template <typename _Input>
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void fwd( Complex * dst, const _Input * src, int nfft)
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{
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m_traits.fwd(dst,src,nfft);
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}
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template <typename _Input>
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void fwd( std::vector<Complex> & dst, const std::vector<_Input> & src)
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{
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dst.resize( src.size() );
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fwd( &dst[0],&src[0],src.size() );
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}
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template <typename _Output>
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void inv( _Output * dst, const Complex * src, int nfft)
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{
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m_traits.inv( dst,src,nfft );
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}
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template <typename _Output>
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void inv( std::vector<_Output> & dst, const std::vector<Complex> & src)
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{
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dst.resize( src.size() );
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inv( &dst[0],&src[0],src.size() );
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}
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// TODO: multi-dimensional FFTs
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// TODO: handle Eigen MatrixBase
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traits_type & traits() {return m_traits;}
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private:
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traits_type m_traits;
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};
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#undef DEFAULT_FFT_IMPL
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}
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#endif
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