ardour/libs/ardour/ardour/dsp_filter.h

352 lines
9.2 KiB
C++

/*
* Copyright (C) 2016-2017 Robin Gareus <robin@gareus.org>
*
* This program is free software; you can redistribute it and/or modify
* it under the terms of the GNU General Public License as published by
* the Free Software Foundation; either version 2 of the License, or
* (at your option) any later version.
*
* This program is distributed in the hope that it will be useful,
* but WITHOUT ANY WARRANTY; without even the implied warranty of
* MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
* GNU General Public License for more details.
*
* You should have received a copy of the GNU General Public License along
* with this program; if not, write to the Free Software Foundation, Inc.,
* 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA.
*/
#ifndef _dsp_filter_h_
#define _dsp_filter_h_
#include <stdint.h>
#include <string.h>
#include <assert.h>
#include <glib.h>
#include <glibmm.h>
#include <fftw3.h>
#include "pbd/malign.h"
#include "ardour/buffer_set.h"
#include "ardour/chan_mapping.h"
#include "ardour/libardour_visibility.h"
#include "ardour/types.h"
namespace ARDOUR { namespace DSP {
/** C/C++ Shared Memory
*
* A convenience class representing a C array of float[] or int32_t[]
* data values. This is useful for lua scripts to perform DSP operations
* directly using C/C++ with CPU Hardware acceleration.
*
* Access to this memory area is always 4 byte aligned. The data
* is interpreted either as float or as int.
*
* This memory area can also be shared between different instances
* or the same lua plugin (DSP, GUI).
*
* Since memory allocation is not realtime safe it should be
* allocated during dsp_init() or dsp_configure().
* The memory is free()ed automatically when the lua instance is
* destroyed.
*/
class DspShm {
public:
DspShm (size_t s = 0)
: _data (0)
, _size (0)
{
assert (sizeof(float) == sizeof (int32_t));
assert (sizeof(float) == sizeof (int));
allocate (s);
}
~DspShm () {
cache_aligned_free (_data);
}
/** [re] allocate memory in host's memory space
*
* @param s size, total number of float or integer elements to store.
*/
void allocate (size_t s) {
if (s == _size) { return; }
cache_aligned_free (_data);
cache_aligned_malloc ((void**) &_data, sizeof (float) * s);
if (_data) { _size = s; }
}
/** clear memory (set to zero) */
void clear () {
memset (_data, 0, sizeof(float) * _size);
}
/** access memory as float array
*
* @param off offset in shared memory region
* @returns float[]
*/
float* to_float (size_t off) {
if (off >= _size) { return 0; }
return &(((float*)_data)[off]);
}
/** access memory as integer array
*
* @param off offset in shared memory region
* @returns int_32_t[]
*/
int32_t* to_int (size_t off) {
if (off >= _size) { return 0; }
return &(((int32_t*)_data)[off]);
}
/** atomically set integer at offset
*
* This involves a memory barrier. This call
* is intended for buffers which are
* shared with another instance.
*
* @param off offset in shared memory region
* @param val value to set
*/
void atomic_set_int (size_t off, int32_t val) {
g_atomic_int_set (&(((int32_t*)_data)[off]), val);
}
/** atomically read integer at offset
*
* This involves a memory barrier. This call
* is intended for buffers which are
* shared with another instance.
*
* @param off offset in shared memory region
* @returns value at offset
*/
int32_t atomic_get_int (size_t off) {
return g_atomic_int_get (&(((int32_t*)_data)[off]));
}
private:
void* _data;
size_t _size;
};
/** lua wrapper to memset() */
void memset (float *data, const float val, const uint32_t n_samples);
/** matrix multiply
* multiply every sample of `data' with the corresponding sample at `mult'.
*
* @param data multiplicand
* @param mult multiplicand
* @param n_samples number of samples in data and mmult
*/
void mmult (float *data, float *mult, const uint32_t n_samples);
/** calculate peaks
*
* @param data data to analyze
* @param min result, minimum value found in range
* @param max result, max value found in range
* @param n_samples number of samples to analyze
*/
void peaks (const float *data, float &min, float &max, uint32_t n_samples);
/** non-linear power-scale meter deflection
*
* @param power signal power (dB)
* @returns deflected value
*/
float log_meter (float power);
/** non-linear power-scale meter deflection
*
* @param coeff signal value
* @returns deflected value
*/
float log_meter_coeff (float coeff);
void process_map (BufferSet* bufs,
const ChanCount& n_out,
const ChanMapping& in_map,
const ChanMapping& out_map,
pframes_t nframes, samplecnt_t offset);
/** 1st order Low Pass filter */
class LIBARDOUR_API LowPass {
public:
/** instantiate a LPF
*
* @param samplerate samplerate
* @param freq cut-off frequency
*/
LowPass (double samplerate, float freq);
/** process audio data
*
* @param data pointer to audio-data
* @param n_samples number of samples to process
*/
void proc (float *data, const uint32_t n_samples);
/** filter control data
*
* This is useful for parameter smoothing.
*
* @param data pointer to control-data array
* @param val target value
* @param n_samples array length
*/
void ctrl (float *data, const float val, const uint32_t n_samples);
/** update filter cut-off frequency
*
* @param freq cut-off frequency
*/
void set_cutoff (float freq);
/** reset filter state */
void reset () { _z = 0.f; }
private:
float _rate;
float _z;
float _a;
};
/** Biquad Filter */
class LIBARDOUR_API Biquad {
public:
enum Type {
LowPass,
HighPass,
BandPassSkirt,
BandPass0dB,
Notch,
AllPass,
Peaking,
LowShelf,
HighShelf,
MatchedLowPass,
MatchedHighPass,
MatchedBandPass0dB,
MatchedPeaking
};
/** Instantiate Biquad Filter
*
* @param samplerate Samplerate
*/
Biquad (double samplerate);
Biquad (const Biquad &other);
/** process audio data
*
* @param data pointer to audio-data
* @param n_samples number of samples to process
*/
void run (float *data, const uint32_t n_samples);
/** setup filter, compute coefficients
*
* @param t filter type (LowPass, HighPass, etc)
* @param freq filter frequency
* @param Q filter quality
* @param gain filter gain
*/
void compute (Type t, double freq, double Q, double gain);
/** setup filter, set coefficients directly */
void configure (double a1, double a2, double b0, double b1, double b2);
/* copy coefficients from other instance, retain state */
void configure (Biquad const&);
/** filter transfer function (filter response for spectrum visualization)
* @param freq frequency
* @return gain at given frequency in dB (clamped to -120..+120)
*/
float dB_at_freq (float freq) const;
/** reset filter state */
void reset () { _z1 = _z2 = 0.0; }
private:
void set_vicanek_poles (const double W0, const double Q, const double A = 1.0);
void calc_vicanek (const double W0, double& A0, double& A1, double& A2, double& phi0, double& phi1, double& phi2);
double _rate;
float _z1, _z2;
double _a1, _a2;
double _b0, _b1, _b2;
};
class LIBARDOUR_API FFTSpectrum {
public:
FFTSpectrum (uint32_t window_size, double rate);
~FFTSpectrum ();
/** set data to be analyzed and pre-process with hanning window
* n_samples + offset must not be larger than the configured window_size
*
* @param data raw audio data
* @param n_samples number of samples to write to analysis buffer
* @param offset destination offset
*/
void set_data_hann (float const * const data, const uint32_t n_samples, const uint32_t offset = 0);
/** process current data in buffer */
void execute ();
/** query
* @param bin the frequency bin 0 .. window_size / 2
* @param norm gain factor (set equal to \p bin for 1/f normalization)
* @return signal power at given bin (in dBFS)
*/
float power_at_bin (const uint32_t bin, const float norm = 1.f) const;
float freq_at_bin (const uint32_t bin) const {
return bin * _fft_freq_per_bin;
}
private:
static Glib::Threads::Mutex fft_planner_lock;
float* hann_window;
void init (uint32_t window_size, double rate);
void reset ();
uint32_t _fft_window_size;
uint32_t _fft_data_size;
double _fft_freq_per_bin;
float* _fft_data_in;
float* _fft_data_out;
float* _fft_power;
fftwf_plan _fftplan;
};
class LIBARDOUR_API Generator {
public:
Generator ();
enum Type {
UniformWhiteNoise,
GaussianWhiteNoise,
PinkNoise,
};
void run (float *data, const uint32_t n_samples);
void set_type (Type t);
private:
uint32_t randi ();
float randf () { return (randi () / 1073741824.f) - 1.f; }
float grandf ();
Type _type;
uint32_t _rseed;
/* pink-noise */
float _b0, _b1, _b2, _b3, _b4, _b5, _b6;
/* gaussian white */
bool _pass;
float _rn;
};
} } /* namespace */
#endif