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CLK/SignalProcessing/FIRFilter.hpp

96 lines
2.9 KiB
C++

//
// LinearFilter.h
// Clock Signal
//
// Created by Thomas Harte on 01/10/2011.
// Copyright 2011 Thomas Harte. All rights reserved.
//
#ifndef FIRFilter_hpp
#define FIRFilter_hpp
#ifdef __APPLE__
#include <Accelerate/Accelerate.h>
#endif
#include <vector>
namespace SignalProcessing {
/*!
The FIR filter takes a 1d PCM signal with a given sample rate and applies a band-pass filter to it.
The number of taps (ie, samples considered simultaneously to make an output sample) is configurable;
smaller numbers permit a filter that operates more quickly and with less lag but less effectively.
*/
class FIRFilter {
private:
static constexpr float FixedMultiplier = 32767.0f;
static constexpr int FixedShift = 15;
public:
/*! A suggested default attenuation value. */
constexpr static float DefaultAttenuation = 60.0f;
/*!
Creates an instance of @c FIRFilter.
@param number_of_taps The size of window for input data.
@param input_sample_rate The sampling rate of the input signal.
@param low_frequency The lowest frequency of signal to retain in the output.
@param high_frequency The highest frequency of signal to retain in the output.
@param attenuation The attenuation of the discarded frequencies.
*/
FIRFilter(std::size_t number_of_taps, float input_sample_rate, float low_frequency, float high_frequency, float attenuation = DefaultAttenuation);
FIRFilter(const std::vector<float> &coefficients);
/*!
Applies the filter to one batch of input samples, returning the net result.
@param src The source buffer to apply the filter to.
@returns The result of applying the filter.
*/
inline short apply(const short *src) const {
#ifdef __APPLE__
short result;
vDSP_dotpr_s1_15(filter_coefficients_.data(), 1, src, 1, &result, filter_coefficients_.size());
return result;
#else
int outputValue = 0;
for(std::size_t c = 0; c < filter_coefficients_.size(); ++c) {
outputValue += filter_coefficients_[c] * src[c];
}
return static_cast<short>(outputValue >> FixedShift);
#endif
}
/*! @returns The number of taps used by this filter. */
inline std::size_t get_number_of_taps() const {
return filter_coefficients_.size();
}
/*! @returns The weighted coefficients that describe this filter. */
std::vector<float> get_coefficients() const;
/*!
@returns A filter that would have the effect of adding (and scaling) the outputs of the two filters.
Defined only if both have the same number of taps.
*/
FIRFilter operator+(const FIRFilter &) const;
/*!
@returns A filter that would have the effect of applying the two filters in succession.
Defined only if both have the same number of taps.
*/
FIRFilter operator*(const FIRFilter &) const;
private:
std::vector<short> filter_coefficients_;
static void coefficients_for_idealised_filter_response(short *filterCoefficients, float *A, float attenuation, std::size_t numberOfTaps);
static float ino(float a);
};
}
#endif