invoke with: bls <spline degree> <number of iterations> \ [ <frequency cutoff> ] More...
Inheritance diagram for offset_f:
Public Member Functions | |
| offset_f (const double &_offset) | |
| template<typename IN , typename OUT > | |
| void | eval (const IN &in, OUT &out) const |
Public Attributes | |
| const double | offset |
Additional Inherited Members | |
 Public Types inherited from vspline::unary_functor< double > | |
| enum | |
| enum | |
| enum | |
| typedef double | in_type |
| typedef double | out_type |
| typedef vspline::vector_traits< double >::ele_type | in_ele_type |
| typedef vspline::vector_traits< double >::ele_type | out_ele_type |
| typedef vigra::TinyVector< in_ele_type, dim_in > | in_nd_ele_type |
| typedef vigra::TinyVector< out_ele_type, dim_out > | out_nd_ele_type |
| typedef vector_traits< double, vsize >::ele_v | in_ele_v |
| a simdized type of the elementary type of result_type, which is used for coefficients and results. this is fixed via the traits class vector_traits (in vector.h). Note how we derive this type using vsize from the template argument, not what vspline::vector_traits deems appropriate for ele_type - though both numbers will be the same in most cases. More... | |
| typedef vector_traits< double, vsize >::ele_v | out_ele_v |
| typedef vector_traits< double, vsize >::nd_ele_v | in_nd_ele_v |
| typedef vector_traits< double, vsize >::nd_ele_v | out_nd_ele_v |
| typedef vector_traits< double, vsize >::type | in_v |
| vectorized in_type and out_type. vspline::vector_traits supplies these types so that multidimensional/multichannel data come as vigra::TinyVectors, while 'singular' data won't be made into TinyVectors of one element. More... | |
| typedef vector_traits< double, vsize >::type | out_v |
| typedef vector_traits< int, vsize >::ele_v | ic_v |
| vsize wide vector of ints, used for gather/scatter indexes More... | |
| Static Public Attributes inherited from vspline::unary_functor< double > | |
| static const bool | has_capped_eval |
Detailed Description
invoke with: bls <spline degree> <number of iterations> \ [ <frequency cutoff> ]
Try different spline degrees and cutoff frequencies. With cutoff frequencies of 0.5 or less you'll notice that even with relatively low spline degree, the 'immunity' to resampling is quite good: even with thousands of iterations, the original signal can be regained with minimal error. Raising the spline degree, the cutoff frequency can even be raised above 0.5 and the spline remains quite 'immune'.
Constructor & Destructor Documentation
◆ offset_f()
Member Function Documentation
◆ eval()
template<typename IN , typename OUT >
|
inline |
Member Data Documentation
◆ offset
The documentation for this struct was generated from the following file:
- example/bls.cpp
