1c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath// This file is part of Eigen, a lightweight C++ template library
2c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath// for linear algebra.
3c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath//
4c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath// Copyright (C) 2009 Mark Borgerding mark a borgerding net
5c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath//
6c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath// This Source Code Form is subject to the terms of the Mozilla
7c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath// Public License v. 2.0. If a copy of the MPL was not distributed
8c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath// with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
9c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath
10c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamathnamespace Eigen {
11c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath
12c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamathnamespace internal {
13c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath
14c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  // This FFT implementation was derived from kissfft http:sourceforge.net/projects/kissfft
15c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  // Copyright 2003-2009 Mark Borgerding
16c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath
17c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamathtemplate <typename _Scalar>
18c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamathstruct kiss_cpx_fft
19c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath{
20c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  typedef _Scalar Scalar;
21c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  typedef std::complex<Scalar> Complex;
22c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  std::vector<Complex> m_twiddles;
23c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  std::vector<int> m_stageRadix;
24c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  std::vector<int> m_stageRemainder;
25c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  std::vector<Complex> m_scratchBuf;
26c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  bool m_inverse;
27c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath
28c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  inline
29c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath    void make_twiddles(int nfft,bool inverse)
30c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath    {
317faaa9f3f0df9d23790277834d426c3d992ac3baCarlos Hernandez      using std::acos;
32c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath      m_inverse = inverse;
33c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath      m_twiddles.resize(nfft);
34c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath      Scalar phinc =  (inverse?2:-2)* acos( (Scalar) -1)  / nfft;
35c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath      for (int i=0;i<nfft;++i)
36c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath        m_twiddles[i] = exp( Complex(0,i*phinc) );
37c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath    }
38c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath
39c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  void factorize(int nfft)
40c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  {
41c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath    //start factoring out 4's, then 2's, then 3,5,7,9,...
42c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath    int n= nfft;
43c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath    int p=4;
44c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath    do {
45c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath      while (n % p) {
46c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath        switch (p) {
47c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath          case 4: p = 2; break;
48c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath          case 2: p = 3; break;
49c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath          default: p += 2; break;
50c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath        }
51c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath        if (p*p>n)
52c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath          p=n;// impossible to have a factor > sqrt(n)
53c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath      }
54c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath      n /= p;
55c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath      m_stageRadix.push_back(p);
56c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath      m_stageRemainder.push_back(n);
57c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath      if ( p > 5 )
58c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath        m_scratchBuf.resize(p); // scratchbuf will be needed in bfly_generic
59c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath    }while(n>1);
60c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  }
61c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath
62c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  template <typename _Src>
63c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath    inline
64c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath    void work( int stage,Complex * xout, const _Src * xin, size_t fstride,size_t in_stride)
65c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath    {
66c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath      int p = m_stageRadix[stage];
67c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath      int m = m_stageRemainder[stage];
68c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath      Complex * Fout_beg = xout;
69c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath      Complex * Fout_end = xout + p*m;
70c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath
71c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath      if (m>1) {
72c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath        do{
73c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath          // recursive call:
74c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath          // DFT of size m*p performed by doing
75c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath          // p instances of smaller DFTs of size m,
76c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath          // each one takes a decimated version of the input
77c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath          work(stage+1, xout , xin, fstride*p,in_stride);
78c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath          xin += fstride*in_stride;
79c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath        }while( (xout += m) != Fout_end );
80c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath      }else{
81c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath        do{
82c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath          *xout = *xin;
83c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath          xin += fstride*in_stride;
84c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath        }while(++xout != Fout_end );
85c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath      }
86c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath      xout=Fout_beg;
87c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath
88c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath      // recombine the p smaller DFTs
89c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath      switch (p) {
90c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath        case 2: bfly2(xout,fstride,m); break;
91c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath        case 3: bfly3(xout,fstride,m); break;
92c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath        case 4: bfly4(xout,fstride,m); break;
93c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath        case 5: bfly5(xout,fstride,m); break;
94c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath        default: bfly_generic(xout,fstride,m,p); break;
95c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath      }
96c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath    }
97c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath
98c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  inline
99c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath    void bfly2( Complex * Fout, const size_t fstride, int m)
100c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath    {
101c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath      for (int k=0;k<m;++k) {
102c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath        Complex t = Fout[m+k] * m_twiddles[k*fstride];
103c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath        Fout[m+k] = Fout[k] - t;
104c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath        Fout[k] += t;
105c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath      }
106c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath    }
107c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath
108c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  inline
109c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath    void bfly4( Complex * Fout, const size_t fstride, const size_t m)
110c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath    {
111c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath      Complex scratch[6];
112c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath      int negative_if_inverse = m_inverse * -2 +1;
113c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath      for (size_t k=0;k<m;++k) {
114c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath        scratch[0] = Fout[k+m] * m_twiddles[k*fstride];
115c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath        scratch[1] = Fout[k+2*m] * m_twiddles[k*fstride*2];
116c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath        scratch[2] = Fout[k+3*m] * m_twiddles[k*fstride*3];
117c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath        scratch[5] = Fout[k] - scratch[1];
118c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath
119c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath        Fout[k] += scratch[1];
120c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath        scratch[3] = scratch[0] + scratch[2];
121c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath        scratch[4] = scratch[0] - scratch[2];
122c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath        scratch[4] = Complex( scratch[4].imag()*negative_if_inverse , -scratch[4].real()* negative_if_inverse );
123c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath
124c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath        Fout[k+2*m]  = Fout[k] - scratch[3];
125c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath        Fout[k] += scratch[3];
126c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath        Fout[k+m] = scratch[5] + scratch[4];
127c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath        Fout[k+3*m] = scratch[5] - scratch[4];
128c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath      }
129c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath    }
130c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath
131c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  inline
132c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath    void bfly3( Complex * Fout, const size_t fstride, const size_t m)
133c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath    {
134c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath      size_t k=m;
135c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath      const size_t m2 = 2*m;
136c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath      Complex *tw1,*tw2;
137c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath      Complex scratch[5];
138c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath      Complex epi3;
139c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath      epi3 = m_twiddles[fstride*m];
140c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath
141c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath      tw1=tw2=&m_twiddles[0];
142c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath
143c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath      do{
144c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath        scratch[1]=Fout[m] * *tw1;
145c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath        scratch[2]=Fout[m2] * *tw2;
146c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath
147c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath        scratch[3]=scratch[1]+scratch[2];
148c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath        scratch[0]=scratch[1]-scratch[2];
149c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath        tw1 += fstride;
150c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath        tw2 += fstride*2;
151c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath        Fout[m] = Complex( Fout->real() - Scalar(.5)*scratch[3].real() , Fout->imag() - Scalar(.5)*scratch[3].imag() );
152c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath        scratch[0] *= epi3.imag();
153c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath        *Fout += scratch[3];
154c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath        Fout[m2] = Complex(  Fout[m].real() + scratch[0].imag() , Fout[m].imag() - scratch[0].real() );
155c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath        Fout[m] += Complex( -scratch[0].imag(),scratch[0].real() );
156c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath        ++Fout;
157c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath      }while(--k);
158c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath    }
159c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath
160c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  inline
161c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath    void bfly5( Complex * Fout, const size_t fstride, const size_t m)
162c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath    {
163c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath      Complex *Fout0,*Fout1,*Fout2,*Fout3,*Fout4;
164c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath      size_t u;
165c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath      Complex scratch[13];
166c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath      Complex * twiddles = &m_twiddles[0];
167c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath      Complex *tw;
168c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath      Complex ya,yb;
169c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath      ya = twiddles[fstride*m];
170c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath      yb = twiddles[fstride*2*m];
171c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath
172c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath      Fout0=Fout;
173c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath      Fout1=Fout0+m;
174c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath      Fout2=Fout0+2*m;
175c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath      Fout3=Fout0+3*m;
176c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath      Fout4=Fout0+4*m;
177c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath
178c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath      tw=twiddles;
179c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath      for ( u=0; u<m; ++u ) {
180c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath        scratch[0] = *Fout0;
181c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath
182c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath        scratch[1]  = *Fout1 * tw[u*fstride];
183c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath        scratch[2]  = *Fout2 * tw[2*u*fstride];
184c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath        scratch[3]  = *Fout3 * tw[3*u*fstride];
185c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath        scratch[4]  = *Fout4 * tw[4*u*fstride];
186c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath
187c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath        scratch[7] = scratch[1] + scratch[4];
188c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath        scratch[10] = scratch[1] - scratch[4];
189c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath        scratch[8] = scratch[2] + scratch[3];
190c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath        scratch[9] = scratch[2] - scratch[3];
191c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath
192c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath        *Fout0 +=  scratch[7];
193c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath        *Fout0 +=  scratch[8];
194c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath
195c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath        scratch[5] = scratch[0] + Complex(
196c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath            (scratch[7].real()*ya.real() ) + (scratch[8].real() *yb.real() ),
197c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath            (scratch[7].imag()*ya.real()) + (scratch[8].imag()*yb.real())
198c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath            );
199c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath
200c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath        scratch[6] = Complex(
201c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath            (scratch[10].imag()*ya.imag()) + (scratch[9].imag()*yb.imag()),
202c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath            -(scratch[10].real()*ya.imag()) - (scratch[9].real()*yb.imag())
203c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath            );
204c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath
205c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath        *Fout1 = scratch[5] - scratch[6];
206c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath        *Fout4 = scratch[5] + scratch[6];
207c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath
208c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath        scratch[11] = scratch[0] +
209c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath          Complex(
210c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath              (scratch[7].real()*yb.real()) + (scratch[8].real()*ya.real()),
211c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath              (scratch[7].imag()*yb.real()) + (scratch[8].imag()*ya.real())
212c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath              );
213c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath
214c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath        scratch[12] = Complex(
215c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath            -(scratch[10].imag()*yb.imag()) + (scratch[9].imag()*ya.imag()),
216c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath            (scratch[10].real()*yb.imag()) - (scratch[9].real()*ya.imag())
217c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath            );
218c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath
219c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath        *Fout2=scratch[11]+scratch[12];
220c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath        *Fout3=scratch[11]-scratch[12];
221c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath
222c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath        ++Fout0;++Fout1;++Fout2;++Fout3;++Fout4;
223c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath      }
224c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath    }
225c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath
226c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  /* perform the butterfly for one stage of a mixed radix FFT */
227c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  inline
228c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath    void bfly_generic(
229c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath        Complex * Fout,
230c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath        const size_t fstride,
231c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath        int m,
232c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath        int p
233c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath        )
234c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath    {
235c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath      int u,k,q1,q;
236c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath      Complex * twiddles = &m_twiddles[0];
237c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath      Complex t;
238c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath      int Norig = static_cast<int>(m_twiddles.size());
239c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath      Complex * scratchbuf = &m_scratchBuf[0];
240c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath
241c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath      for ( u=0; u<m; ++u ) {
242c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath        k=u;
243c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath        for ( q1=0 ; q1<p ; ++q1 ) {
244c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath          scratchbuf[q1] = Fout[ k  ];
245c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath          k += m;
246c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath        }
247c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath
248c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath        k=u;
249c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath        for ( q1=0 ; q1<p ; ++q1 ) {
250c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath          int twidx=0;
251c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath          Fout[ k ] = scratchbuf[0];
252c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath          for (q=1;q<p;++q ) {
253c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath            twidx += static_cast<int>(fstride) * k;
254c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath            if (twidx>=Norig) twidx-=Norig;
255c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath            t=scratchbuf[q] * twiddles[twidx];
256c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath            Fout[ k ] += t;
257c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath          }
258c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath          k += m;
259c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath        }
260c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath      }
261c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath    }
262c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath};
263c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath
264c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamathtemplate <typename _Scalar>
265c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamathstruct kissfft_impl
266c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath{
267c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  typedef _Scalar Scalar;
268c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  typedef std::complex<Scalar> Complex;
269c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath
270c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  void clear()
271c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  {
272c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath    m_plans.clear();
273c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath    m_realTwiddles.clear();
274c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  }
275c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath
276c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  inline
277c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath    void fwd( Complex * dst,const Complex *src,int nfft)
278c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath    {
279c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath      get_plan(nfft,false).work(0, dst, src, 1,1);
280c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath    }
281c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath
282c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  inline
283c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath    void fwd2( Complex * dst,const Complex *src,int n0,int n1)
284c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath    {
285c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath        EIGEN_UNUSED_VARIABLE(dst);
286c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath        EIGEN_UNUSED_VARIABLE(src);
287c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath        EIGEN_UNUSED_VARIABLE(n0);
288c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath        EIGEN_UNUSED_VARIABLE(n1);
289c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath    }
290c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath
291c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  inline
292c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath    void inv2( Complex * dst,const Complex *src,int n0,int n1)
293c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath    {
294c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath        EIGEN_UNUSED_VARIABLE(dst);
295c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath        EIGEN_UNUSED_VARIABLE(src);
296c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath        EIGEN_UNUSED_VARIABLE(n0);
297c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath        EIGEN_UNUSED_VARIABLE(n1);
298c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath    }
299c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath
300c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  // real-to-complex forward FFT
301c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  // perform two FFTs of src even and src odd
302c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  // then twiddle to recombine them into the half-spectrum format
303c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  // then fill in the conjugate symmetric half
304c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  inline
305c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath    void fwd( Complex * dst,const Scalar * src,int nfft)
306c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath    {
307c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath      if ( nfft&3  ) {
308c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath        // use generic mode for odd
309c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath        m_tmpBuf1.resize(nfft);
310c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath        get_plan(nfft,false).work(0, &m_tmpBuf1[0], src, 1,1);
311c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath        std::copy(m_tmpBuf1.begin(),m_tmpBuf1.begin()+(nfft>>1)+1,dst );
312c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath      }else{
313c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath        int ncfft = nfft>>1;
314c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath        int ncfft2 = nfft>>2;
315c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath        Complex * rtw = real_twiddles(ncfft2);
316c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath
317c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath        // use optimized mode for even real
318c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath        fwd( dst, reinterpret_cast<const Complex*> (src), ncfft);
319c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath        Complex dc = dst[0].real() +  dst[0].imag();
320c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath        Complex nyquist = dst[0].real() -  dst[0].imag();
321c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath        int k;
322c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath        for ( k=1;k <= ncfft2 ; ++k ) {
323c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath          Complex fpk = dst[k];
324c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath          Complex fpnk = conj(dst[ncfft-k]);
325c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath          Complex f1k = fpk + fpnk;
326c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath          Complex f2k = fpk - fpnk;
327c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath          Complex tw= f2k * rtw[k-1];
328c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath          dst[k] =  (f1k + tw) * Scalar(.5);
329c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath          dst[ncfft-k] =  conj(f1k -tw)*Scalar(.5);
330c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath        }
331c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath        dst[0] = dc;
332c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath        dst[ncfft] = nyquist;
333c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath      }
334c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath    }
335c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath
336c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  // inverse complex-to-complex
337c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  inline
338c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath    void inv(Complex * dst,const Complex  *src,int nfft)
339c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath    {
340c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath      get_plan(nfft,true).work(0, dst, src, 1,1);
341c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath    }
342c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath
343c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  // half-complex to scalar
344c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  inline
345c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath    void inv( Scalar * dst,const Complex * src,int nfft)
346c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath    {
347c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath      if (nfft&3) {
348c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath        m_tmpBuf1.resize(nfft);
349c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath        m_tmpBuf2.resize(nfft);
350c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath        std::copy(src,src+(nfft>>1)+1,m_tmpBuf1.begin() );
351c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath        for (int k=1;k<(nfft>>1)+1;++k)
352c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath          m_tmpBuf1[nfft-k] = conj(m_tmpBuf1[k]);
353c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath        inv(&m_tmpBuf2[0],&m_tmpBuf1[0],nfft);
354c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath        for (int k=0;k<nfft;++k)
355c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath          dst[k] = m_tmpBuf2[k].real();
356c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath      }else{
357c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath        // optimized version for multiple of 4
358c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath        int ncfft = nfft>>1;
359c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath        int ncfft2 = nfft>>2;
360c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath        Complex * rtw = real_twiddles(ncfft2);
361c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath        m_tmpBuf1.resize(ncfft);
362c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath        m_tmpBuf1[0] = Complex( src[0].real() + src[ncfft].real(), src[0].real() - src[ncfft].real() );
363c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath        for (int k = 1; k <= ncfft / 2; ++k) {
364c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath          Complex fk = src[k];
365c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath          Complex fnkc = conj(src[ncfft-k]);
366c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath          Complex fek = fk + fnkc;
367c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath          Complex tmp = fk - fnkc;
368c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath          Complex fok = tmp * conj(rtw[k-1]);
369c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath          m_tmpBuf1[k] = fek + fok;
370c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath          m_tmpBuf1[ncfft-k] = conj(fek - fok);
371c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath        }
372c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath        get_plan(ncfft,true).work(0, reinterpret_cast<Complex*>(dst), &m_tmpBuf1[0], 1,1);
373c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath      }
374c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath    }
375c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath
376c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  protected:
377c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  typedef kiss_cpx_fft<Scalar> PlanData;
378c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  typedef std::map<int,PlanData> PlanMap;
379c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath
380c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  PlanMap m_plans;
381c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  std::map<int, std::vector<Complex> > m_realTwiddles;
382c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  std::vector<Complex> m_tmpBuf1;
383c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  std::vector<Complex> m_tmpBuf2;
384c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath
385c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  inline
386c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath    int PlanKey(int nfft, bool isinverse) const { return (nfft<<1) | int(isinverse); }
387c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath
388c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  inline
389c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath    PlanData & get_plan(int nfft, bool inverse)
390c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath    {
391c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath      // TODO look for PlanKey(nfft, ! inverse) and conjugate the twiddles
392c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath      PlanData & pd = m_plans[ PlanKey(nfft,inverse) ];
393c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath      if ( pd.m_twiddles.size() == 0 ) {
394c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath        pd.make_twiddles(nfft,inverse);
395c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath        pd.factorize(nfft);
396c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath      }
397c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath      return pd;
398c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath    }
399c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath
400c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  inline
401c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath    Complex * real_twiddles(int ncfft2)
402c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath    {
4037faaa9f3f0df9d23790277834d426c3d992ac3baCarlos Hernandez      using std::acos;
404c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath      std::vector<Complex> & twidref = m_realTwiddles[ncfft2];// creates new if not there
405c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath      if ( (int)twidref.size() != ncfft2 ) {
406c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath        twidref.resize(ncfft2);
407c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath        int ncfft= ncfft2<<1;
408c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath        Scalar pi =  acos( Scalar(-1) );
409c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath        for (int k=1;k<=ncfft2;++k)
410c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath          twidref[k-1] = exp( Complex(0,-pi * (Scalar(k) / ncfft + Scalar(.5)) ) );
411c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath      }
412c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath      return &twidref[0];
413c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath    }
414c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath};
415c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath
416c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath} // end namespace internal
417c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath
418c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath} // end namespace Eigen
419c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath
420c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath/* vim: set filetype=cpp et sw=2 ts=2 ai: */
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