/
filters.hpp
267 lines (223 loc) · 6.05 KB
/
filters.hpp
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#pragma once
#include "c++17_features.hpp"
#include "math_helpers.hpp"
#include "polynomials.hpp"
#include "units.hpp"
#include <cmath>
#include <complex>
#include <vector>
namespace cu
{
template <typename T, std::size_t N>
struct FilterParams
{
Polynomial<T,N> numerator;
Polynomial<T,N> denominator;
};
template <typename T, std::size_t N>
class Filter
{
public:
Filter( const FilterParams<T,N> & params_ )
: params{ params_.numerator / params_.denominator[N],
params_.denominator / params_.denominator[N] }
{}
T operator()( T in )
{
// calculate new value.
T out = params.numerator[N] * in;
for ( std::size_t i = 1; i <= N; ++i )
{
out += params.numerator [N-i] * input [i-1];
out -= params.denominator[N-i] * output[i-1];
}
// shift input/output queues.
for ( std::size_t i = N-1; i > 0; --i )
{
input [i] = input [i-1];
output[i] = output[i-1];
}
input [0] = in ;
output[0] = out;
return out;
}
private:
FilterParams<T,N> params;
std::array<T,N> input{}, output{};
};
template <typename T>
FilterParams<T,2> makeBiquadFilterFromConjugatePoles(
const std::complex<T> & pole )
{
using placeholders::X;
const auto rp2 = 1/std::norm(pole);
return {
{ 1 },
{ static_cast<T>(1) - 2*std::real(pole)*rp2*X + rp2*(X*X) }
};
}
// convert from s-plane to z-plane
template <typename T>
FilterParams<T,2> fromAnalogToDigital( const FilterParams<T,2> & filter )
{
using placeholders::X;
// s = (z-1)/(z+1) = p/q.
const auto p = T(1) * X - T(1);
const auto q = T(1) * X + T(1);
return
{
q * q * filter.numerator [0] +
q * p * filter.numerator [1] +
p * p * filter.numerator [2],
q * q * filter.denominator[0] +
q * p * filter.denominator[1] +
p * p * filter.denominator[2]
};
}
// convert from s-plane to z-plane
template <typename T>
FilterParams<T,1> fromAnalogToDigital( const FilterParams<T,1> & filter )
{
using placeholders::X;
// s = (z-1)/(z+1) = p/q.
const auto p = T(1) * X - T(1);
const auto q = T(1) * X + T(1);
return
{
q * filter.numerator [0] +
p * filter.numerator [1],
q * filter.denominator[0] +
p * filter.denominator[1]
};
}
template <typename T>
struct CascadedFilterParams
{
std::vector<FilterParams<T,2>> biquadFilters;
optional<FilterParams<T,1>> bilinearFilter;
template <typename F>
void iterate( F && f )
{
for ( auto & filter : biquadFilters )
f( filter );
if ( bilinearFilter )
f( bilinearFilter.value() );
}
};
template <typename T>
CascadedFilterParams<T> fromAnalogToDigital( CascadedFilterParams<T> filter )
{
filter.iterate( []( auto & filter )
{
filter = fromAnalogToDigital( filter );
} );
return std::move( filter );
}
template <typename T>
class CascadedFilter
{
public:
CascadedFilter() = default;
CascadedFilter( const CascadedFilterParams<T> & params )
: biquadFilters( params.biquadFilters.begin(),
params.biquadFilters.end() )
{
if ( params.bilinearFilter )
bilinearFilter = Filter<T,1>{params.bilinearFilter.value()};
}
T operator()( T in )
{
for ( auto & filter : biquadFilters )
in = filter( in );
if ( bilinearFilter )
in = bilinearFilter.value()( in );
return in;
}
private:
std::vector<Filter<T,2>> biquadFilters;
optional<Filter<T,1>> bilinearFilter;
};
template <typename T>
CascadedFilter<T> toFilter( const CascadedFilterParams<T> & params )
{
return params;
}
template <typename T>
CascadedFilterParams<T> makeAnalogButterworthFilterParams(
T cutoff,
std::size_t degree
)
{
using placeholders::X;
const auto N = degree;
std::vector<FilterParams<T,2>> biquadFilters;
biquadFilters.reserve( N/2 );
const auto scaledX = 1/cutoff * X;
for ( auto n = N*0; n < N/2; ++n )
biquadFilters.push_back(
{ { 1 }, { T(1) + 2*sin(cu::pi*(n+0.5)/N)*scaledX + scaledX*scaledX } } );
optional<FilterParams<T,1>> bilinearFilter;
if ( N%2 == 1 )
bilinearFilter = FilterParams<T,1>{ {1}, { T(1)+scaledX } };
return { std::move( biquadFilters ), std::move( bilinearFilter ) };
}
/// @param cutoff Should be a value that is strictly between 0 and 0.5.
/// It is to be interpreted as relative to the sampling frequency,
/// i.e. the cutoff frequency is @c cutoff*samplingFrequency.
template <typename T>
CascadedFilter<T> makeButterworthFilter(
T cutoff,
std::size_t degree
)
{
const auto analogCutoff = std::tan( cu::pi * cutoff );
return toFilter(
fromAnalogToDigital(
makeAnalogButterworthFilterParams(
analogCutoff, degree ) ) );
}
template <typename T>
CascadedFilterParams<T> makeAnalogChebyshevType1FilterParams(
T cutoff,
T epsilon,
std::size_t degree
)
{
const auto delta = epsilon*(2-epsilon)/cu::sqr(1-epsilon);
const auto N = degree;
std::vector<FilterParams<T,2>> biquadFilters;
biquadFilters.reserve( N/2 );
for ( auto n = 0*N; n < N/2; ++n )
{
const auto i = std::complex<T>{ 0, 1 };
const auto theta = ( std::acos( i/delta ) + n*static_cast<T>(cu::pi) ) / static_cast<T>(N);
const auto pole = i * std::cos( theta ) * cutoff;
biquadFilters.push_back( makeBiquadFilterFromConjugatePoles( pole ) );
}
optional<FilterParams<T,1>> bilinearFilter;
if ( N%2 == 1 )
{
using placeholders::X;
bilinearFilter = FilterParams<T,1>{
{ T(1) },
{ T(1) + 1/(std::sinh(std::asinh(1/delta)/N)*cutoff)*X } };
}
return { std::move( biquadFilters ), std::move( bilinearFilter ) };
}
/// @param cutoff Should be a value that is strictly between 0 and 0.5.
/// It is to be interpreted as relative to the sampling frequency,
/// i.e. the cutoff frequency is @c cutoff*samplingFrequency.
template <typename T>
CascadedFilter<T> makeChebyshevType1Filter(
T cutoff,
T epsilon,
std::size_t degree
)
{
const auto analogCutoff = std::tan( cu::pi * cutoff );
return toFilter(
fromAnalogToDigital(
makeAnalogChebyshevType1FilterParams(
analogCutoff, epsilon, degree ) ) );
}
} // namespace cu