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updated comments and played around with Map
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@ -38,16 +38,16 @@
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* #include <unsupported/Eigen/FFT>
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* \endcode
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*
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* This module provides Fast Fourier transformation, either using a built-in implementation
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* or as a frontend to various FFT libraries.
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* This module provides Fast Fourier transformation, with a configurable backend
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* implementation.
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*
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* The build-in implementation is based on kissfft. It is a small, free, and
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* The default implementation is based on kissfft. It is a small, free, and
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* reasonably efficient default.
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*
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* There are currently two frontends:
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* There are currently two implementation backend:
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*
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* - fftw (http://www.fftw.org) : faster, GPL -- incompatible with Eigen in LGPL form, bigger code size.
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* - MLK (http://en.wikipedia.org/wiki/Math_Kernel_Library) : fastest, commercial -- may be incompatible with Eigen in GPL form.
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* - MKL (http://en.wikipedia.org/wiki/Math_Kernel_Library) : fastest, commercial -- may be incompatible with Eigen in GPL form.
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*
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* \section FFTDesign Design
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*
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@ -229,19 +229,24 @@ class FFT
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// TODO: multi-dimensional FFTs
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// TODO: handle Eigen MatrixBase
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// ---> i added fwd and inv specializations above + unit test, is this enough? (bjacob)
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inline
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impl_type & impl() {return m_impl;}
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private:
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template <typename _It,typename _Val>
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template <typename T_Data>
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inline
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void scale(_It x,_Val s,int nx)
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void scale(T_Data * x,Scalar s,int nx)
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{
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#if 1
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for (int k=0;k<nx;++k)
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*x++ *= s;
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#else
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if ( ((ptrdiff_t)x) & 15 )
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Matrix<T_Data, Dynamic, 1>::Map(x,nx) *= s;
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else
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Matrix<T_Data, Dynamic, 1>::MapAligned(x,nx) *= s;
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//Matrix<T_Data, Dynamic, Dynamic>::Map(x,nx) * s;
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#endif
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}
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inline
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