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https://gitlab.com/libeigen/eigen.git
synced 2026-04-10 11:34:33 +08:00
added non-optimized real forward fft (no inverse yet)
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@@ -57,21 +57,36 @@ class FFT
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FFT(const traits_type & traits=traits_type() ) :m_traits(traits) { }
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void fwd( Complex * dst, const Complex * src, int nfft)
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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.prepare(nfft,false,dst,src);
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m_traits.exec(dst,src);
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m_traits.postprocess(dst);
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}
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void inv( Complex * dst, const Complex * src, int nfft)
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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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m_traits.prepare(nfft,true,dst,src);
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m_traits.exec(dst,src);
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m_traits.postprocess(dst);
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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.prepare(nfft,true,dst,src);
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m_traits.exec(dst,src);
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m_traits.postprocess(dst);
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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: fwd,inv for Scalar
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// TODO: multi-dimensional FFTs
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// TODO: handle Eigen MatrixBase
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@@ -34,7 +34,8 @@ namespace Eigen {
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typedef std::complex<Scalar> Complex;
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simple_fft_traits() : m_nfft(0) {}
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void prepare(int nfft,bool inverse,Complex * dst,const Complex *src)
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template <typename _Src>
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void prepare(int nfft,bool inverse,Complex * dst,const _Src *src)
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{
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if (m_nfft == nfft) {
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// reuse the twiddles, conjugate if necessary
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@@ -73,7 +74,8 @@ namespace Eigen {
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}while(n>1);
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}
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void exec(Complex * dst, const Complex * src)
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template <typename _Src>
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void exec(Complex * dst, const _Src * src)
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{
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work(0, dst, src, 1,1);
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}
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@@ -89,7 +91,9 @@ namespace Eigen {
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private:
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void work( int stage,Complex * Fout, const Complex * f, size_t fstride,size_t in_stride)
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template <typename _Src>
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void work( int stage,Complex * Fout, const _Src * f, size_t fstride,size_t in_stride)
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{
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int p = m_stageRadix[stage];
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int m = m_stageRemainder[stage];
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