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Fix code style, keep 0df implementation, remove others

tags/v1.0.1
Andrew Belt 6 years ago
parent
37160973e6
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4d5e9de05c
1 changed files with 174 additions and 382 deletions
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  1. +174
    -382
      src/VCF.cpp

+ 174
- 382
src/VCF.cpp View File

@@ -3,423 +3,215 @@
#include "dsp/resampler.hpp" #include "dsp/resampler.hpp"




// ===================================================================================
/** /**
The filter DSP code has been derived from
Miller Puckette's code hosted at
https://github.com/ddiakopoulos/MoogLadders/blob/master/src/RKSimulationModel.h
which is licensed for use under the following terms (MIT license):

Copyright (c) 2015, Miller Puckette. All rights reserved.

Redistribution and use in source and binary forms, with or without
modification, are permitted provided that the following conditions are met:

* Redistributions of source code must retain the above copyright notice, this
list of conditions and the following disclaimer.
* Redistributions in binary form must reproduce the above copyright notice,
this list of conditions and the following disclaimer in the documentation
and/or other materials provided with the distribution.

THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS"
AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE
DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE
FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL
DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR
SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER
CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY,
OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE
OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
*/
struct LadderFilterRK4
{
public:
// ===================================================================================
void process(float input, float dt, float &outLP, float &outHP)
{
float deriv1[4], deriv2[4], deriv3[4], deriv4[4], tempState[4];

calculateDerivatives(input, deriv1, state);

for (int i = 0; i < 4; i++)
tempState[i] = state[i] + 0.5f * dt * deriv1[i];
calculateDerivatives(input, deriv2, tempState);

for (int i = 0; i < 4; i++)
tempState[i] = state[i] + 0.5f * dt * deriv2[i];
calculateDerivatives(input, deriv3, tempState);
for (int i = 0; i < 4; i++)
tempState[i] = state[i] + dt * deriv3[i];
calculateDerivatives(input, deriv4, tempState);

for (int i = 0; i < 4; i++)
state[i] += (1.0f / 6.0f) * dt * (deriv1[i] + 2.0f * deriv2[i] + 2.0f * deriv3[i] + deriv4[i]);
This code is derived from the algorithm described in "Modeling and Measuring a
Moog Voltage-Controlled Filter, by Effrosyni Paschou, Fabián Esqueda, Vesa Välimäki
and John Mourjopoulos, for APSIPA Annual Summit and Conference 2017.


outLP = state[3];
outHP = clip((input - resonance*state[3]) - 4 * state[0] + 6*state[1] - 4*state[2] + state[3]);
}

void reset()
{
for (int i = 0; i < 4; i++)
state[i] = 0.0f;
}
It is a 0df algorithm using Newton-Raphson's method (4 iterations) for solving
implicit equations, and midpoint integration method.


// ===================================================================================
// parameters
float cutoff = 1000.0f;
Derived from the article and adapted to VCV Rack by Ivan COHEN.
*/
struct LadderFilter0dfMidPoint {
float cutoff = 1000.f;
float resonance = 1.0f; float resonance = 1.0f;
float gainFactor = 0.2f;
float A;
/** State variables */
float lastInput = 0.f;
float lastV[4] = {};
/** Outputs */
float lowpass;
float highpass;


private:
// ===================================================================================
// The clipping function of a transistor pair is approximately tanh(x)
inline float clip(float x)
{
return std::tanh(x);
}

void calculateDerivatives(float input, float *dstate, const float *_state)
{
float cutoff2Pi = 2 * M_PI * cutoff;


float satstatein = clip(input - resonance * _state[3]);
float satstate0 = clip(_state[0]);
float satstate1 = clip(_state[1]);
float satstate2 = clip(_state[2]);
float satstate3 = clip(_state[3]);
LadderFilter0dfMidPoint() {
float VT = 26e-3f;
A = gainFactor / (2.f * VT);
}


dstate[0] = cutoff2Pi * (satstatein - satstate0);
dstate[1] = cutoff2Pi * (satstate0 - satstate1);
dstate[2] = cutoff2Pi * (satstate1 - satstate2);
dstate[3] = cutoff2Pi * (satstate2 - satstate3);
inline float clip(float x) {
return tanhf(x);
} }


// ===================================================================================
// state variables
float state[4] = {};
};
void process(float input, float dt) {
float F[4];
float V[4];
float wc = 2 * M_PI * cutoff / A;


input *= gainFactor;


// ===================================================================================
/**
Same than before but with oversampling x4
*/
struct LadderFilterRK4Oversampled
{
public:
// ===================================================================================
void process(float input, float dt, float &outLP, float &outHP)
{
// upsampling
float inup[4], outLPup[4], outHPup[4];
upsampler.process(input, inup);

// processing
float deriv1[4], deriv2[4], deriv3[4], deriv4[4], tempState[4];

for (int n = 0; n < 4; n++)
{
for (int i = 0; i < 4; i++)
tempState[i] = state[i];
calculateDerivatives(inup[n], deriv1, tempState);

for (int i = 0; i < 4; i++)
tempState[i] = state[i] + 0.5f * dt * 0.25f * deriv1[i];
calculateDerivatives(inup[n], deriv2, tempState);

for (int i = 0; i < 4; i++)
tempState[i] = state[i] + 0.5f * dt * 0.25f * deriv2[i];
calculateDerivatives(inup[n], deriv3, tempState);
for (int i = 0; i < 4; i++)
tempState[i] = state[i] + dt * 0.25f * deriv3[i];
calculateDerivatives(inup[n], deriv4, tempState);

for (int i = 0; i < 4; i++)
state[i] += (1.0f / 6.0f) * dt * 0.25f * (deriv1[i] + 2.0f * deriv2[i] + 2.0f * deriv3[i] + deriv4[i]);

outLPup[n] = state[3];
outHPup[n] = clip((inup[n] - resonance*state[3]) - 4 * state[0] + 6*state[1] - 4*state[2] + state[3]);
for (int i = 0; i < 4; i++) {
V[i] = lastV[i];
} }


// downsampling
outLP = decimatorLP.process(outLPup);
outHP = decimatorHP.process(outHPup);
}
for (int i = 0; i < 4; i++) {
float S0 = A * (input + lastInput + resonance * (V[3] + lastV[3])) * 0.5f;
float S1 = A * (V[0] + lastV[0]) * 0.5f;
float S2 = A * (V[1] + lastV[1]) * 0.5f;
float S3 = A * (V[2] + lastV[2]) * 0.5f;
float S4 = A * (V[3] + lastV[3]) * 0.5f;

float t0 = clip(S0);
float t1 = clip(S1);
float t2 = clip(S2);
float t3 = clip(S3);
float t4 = clip(S4);

// F function (the one for which we need to find the roots with NR)
F[0] = V[0] - lastV[0] + wc * dt * (t0 + t1);
F[1] = V[1] - lastV[1] - wc * dt * (t1 - t2);
F[2] = V[2] - lastV[2] - wc * dt * (t2 - t3);
F[3] = V[3] - lastV[3] - wc * dt * (t3 - t4);

float g = wc * dt * A * 0.5f;

// derivatives of ti
float J0 = 1 - t0 * t0;
float J1 = 1 - t1 * t1;
float J2 = 1 - t2 * t2;
float J3 = 1 - t3 * t3;
float J4 = 1 - t4 * t4;

// Jacobian matrix elements
float a11 = 1 + g * J1;
float a14 = resonance * g * J0;
float a21 = -g * J1;
float a22 = 1 + g * J2;
float a32 = -g * J2;
float a33 = 1 + g * J3;
float a43 = -g * J3;
float a44 = 1 + g * J4;

// Newton-Raphson algorithm with Jacobian inverting
float deninv = 1.f / (a11 * a22 * a33 * a44 - a14 * a21 * a32 * a43);

float delta0 = ( F[0] * a22 * a33 * a44 - F[1] * a14 * a32 * a43 + F[2] * a14 * a22 * a43 - F[3] * a14 * a22 * a33) * deninv;
float delta1 = (-F[0] * a21 * a33 * a44 + F[1] * a11 * a33 * a44 - F[2] * a14 * a21 * a43 + F[3] * a14 * a21 * a33) * deninv;
float delta2 = ( F[0] * a21 * a32 * a44 - F[1] * a11 * a32 * a44 + F[2] * a11 * a22 * a44 - F[3] * a14 * a21 * a32) * deninv;
float delta3 = (-F[0] * a21 * a32 * a43 + F[1] * a11 * a32 * a43 - F[2] * a11 * a22 * a43 + F[3] * a11 * a22 * a33) * deninv;

delta0 = isfinite(delta0) ? delta0 : 0.f;
delta1 = isfinite(delta1) ? delta1 : 0.f;
delta2 = isfinite(delta2) ? delta2 : 0.f;
delta3 = isfinite(delta3) ? delta3 : 0.f;

V[0] -= delta0;
V[1] -= delta1;
V[2] -= delta2;
V[3] -= delta3;
}


void reset()
{
lastInput = input;
for (int i = 0; i < 4; i++) for (int i = 0; i < 4; i++)
state[i] = 0.0f;
lastV[i] = V[i];


upsampler.reset();
decimatorLP.reset();
decimatorHP.reset();
// outputs are inverted
lowpass = -clip(V[3] / gainFactor);
highpass = -clip(((input + resonance * V[3]) + 4 * V[0] - 6 * V[1] + 4 * V[2] - V[3]) / gainFactor);
} }


// ===================================================================================
// parameters
float cutoff = 1000.0f;
float resonance = 1.0f;

private:
// ===================================================================================
// The clipping function of a transistor pair is approximately tanh(x)
inline float clip(float x)
{
return std::tanh(x);
void reset() {
for (int i = 0; i < 4; i++) {
lastV[i] = 0.f;
}
lastInput = 0.f;
} }
};


void calculateDerivatives(float input, float *dstate, const float *_state)
{
float cutoff2Pi = 2 * M_PI * cutoff;

float satstatein = clip(input - resonance * _state[3]);
float satstate0 = clip(_state[0]);
float satstate1 = clip(_state[1]);
float satstate2 = clip(_state[2]);
float satstate3 = clip(_state[3]);


dstate[0] = cutoff2Pi * (satstatein - satstate0);
dstate[1] = cutoff2Pi * (satstate0 - satstate1);
dstate[2] = cutoff2Pi * (satstate1 - satstate2);
dstate[3] = cutoff2Pi * (satstate2 - satstate3);
struct VCF : Module {
enum ParamIds {
FREQ_PARAM,
FINE_PARAM,
RES_PARAM,
FREQ_CV_PARAM,
DRIVE_PARAM,
NUM_PARAMS
};
enum InputIds {
FREQ_INPUT,
RES_INPUT,
DRIVE_INPUT,
IN_INPUT,
NUM_INPUTS
};
enum OutputIds {
LPF_OUTPUT,
HPF_OUTPUT,
NUM_OUTPUTS
};

LadderFilter0dfMidPoint filter;

VCF() : Module(NUM_PARAMS, NUM_INPUTS, NUM_OUTPUTS) {}

void onReset() override {
filter.reset();
} }


// ===================================================================================
// oversampling classes
Upsampler<4, 32> upsampler;
Decimator<4, 24> decimatorLP, decimatorHP;

// state variables
float state[4] = {};
};

// ===================================================================================
/**
This code is derived from the algorithm described in "Modeling and Measuring a
Moog Voltage-Controlled Filter, by Effrosyni Paschou, Fabián Esqueda, Vesa Välimäki
and John Mourjopoulos, for APSIPA Annual Summit and Conference 2017.
void step() override {
if (!outputs[LPF_OUTPUT].active && !outputs[HPF_OUTPUT].active) {
outputs[LPF_OUTPUT].value = 0.f;
outputs[HPF_OUTPUT].value = 0.f;
return;
}


It is a 0df algorithm using Newton-Raphson's method (4 iterations) for solving
implicit equations, and midpoint integration method.
float input = inputs[IN_INPUT].value / 5.f;
float drive = clamp(params[DRIVE_PARAM].value + inputs[DRIVE_INPUT].value / 10.f, 0.f, 1.f);
float gain = powf(1.f + drive, 5);
input *= gain;


Derived from the article and adapted to VCV Rack by Ivan COHEN.
*/
struct LadderFilter0dfMidPoint
{
public:
// ===================================================================================
// parameters
float cutoff = 1000.f;
float resonance = 1.0f;
LadderFilter0dfMidPoint()
{
A = gainfactor / (2.f * VT);
}
void process(float input, float dt, float &outLP, float &outHP)
{
float F[4], V[4];
const float wc = 2*M_PI*cutoff / A;

input *= gainfactor;

for(int i = 0; i < 4; i++)
V[i] = lastV[i];

for(int i = 0; i < 4; i++)
{
const float S0 = A * (input + lastinput + resonance * (V[3] + lastV[3])) * 0.5f;
const float S1 = A * (V[0] + lastV[0]) * 0.5f;
const float S2 = A * (V[1] + lastV[1]) * 0.5f;
const float S3 = A * (V[2] + lastV[2]) * 0.5f;
const float S4 = A * (V[3] + lastV[3]) * 0.5f;

const float t0 = clip(S0);
const float t1 = clip(S1);
const float t2 = clip(S2);
const float t3 = clip(S3);
const float t4 = clip(S4);

// F function (the one for which we need to find the roots with NR)
F[0] = V[0] - lastV[0] + wc*dt*(t0 + t1);
F[1] = V[1] - lastV[1] - wc*dt*(t1 - t2);
F[2] = V[2] - lastV[2] - wc*dt*(t2 - t3);
F[3] = V[3] - lastV[3] - wc*dt*(t3 - t4);

const float g = wc*dt*A*0.5f;

// derivatives of ti
const float J0 = 1 - t0 * t0;
const float J1 = 1 - t1 * t1;
const float J2 = 1 - t2 * t2;
const float J3 = 1 - t3 * t3;
const float J4 = 1 - t4 * t4;

// Jacobian matrix elements
const float a11 = 1 + g*J1;
const float a14 = resonance*g*J0;
const float a21 = -g*J1;
const float a22 = 1 + g*J2;
const float a32 = -g*J2;
const float a33 = 1 + g*J3;
const float a43 = -g*J3;
const float a44 = 1 + g*J4;

// Newton-Raphson algorithm with Jacobian inverting
const float deninv = 1.f / (a11*a22*a33*a44 - a14*a21*a32*a43);

float delta0 = ( F[0]*a22*a33*a44 - F[1]*a14*a32*a43 + F[2]*a14*a22*a43 - F[3]*a14*a22*a33) * deninv;
float delta1 = (-F[0]*a21*a33*a44 + F[1]*a11*a33*a44 - F[2]*a14*a21*a43 + F[3]*a14*a21*a33) * deninv;
float delta2 = ( F[0]*a21*a32*a44 - F[1]*a11*a32*a44 + F[2]*a11*a22*a44 - F[3]*a14*a21*a32) * deninv;
float delta3 = (-F[0]*a21*a32*a43 + F[1]*a11*a32*a43 - F[2]*a11*a22*a43 + F[3]*a11*a22*a33) * deninv;

delta0 = isfinite(delta0) ? delta0 : 0.f;
delta1 = isfinite(delta1) ? delta1 : 0.f;
delta2 = isfinite(delta2) ? delta2 : 0.f;
delta3 = isfinite(delta3) ? delta3 : 0.f;

V[0] -= delta0;
V[1] -= delta1;
V[2] -= delta2;
V[3] -= delta3;
}

lastinput = input;
for(int i = 0; i < 4; i++)
lastV[i] = V[i];

// outputs are inverted
outLP = -clip(V[3] / gainfactor);
outHP = -clip(((input + resonance*V[3]) + 4 * V[0] - 6*V[1] + 4*V[2] - V[3]) / gainfactor);
}

void reset()
{
for (int i = 0; i < 4; i++)
lastV[i] = 0.0f;

lastinput = 0.f;
}

private:
// ===================================================================================
inline float clip(float x)
{
return std::tanh(x);
}
// Add -60dB noise to bootstrap self-oscillation
input += 1e-6f * (2.f * randomUniform() - 1.f);


// ===================================================================================
// constants
float VT = 26e-3f;
float gainfactor = 0.2f;
float A;
// Set resonance
float res = clamp(params[RES_PARAM].value + inputs[RES_INPUT].value / 10.f, 0.f, 1.f);
filter.resonance = powf(res, 2) * 10.f;


// state variables
float lastinput = 0.f;
float lastV[4] = {};
};
// Set cutoff frequency
float pitch = inputs[FREQ_INPUT].value * quadraticBipolar(params[FREQ_CV_PARAM].value);
pitch += params[FREQ_PARAM].value * 10.f - 3.f;
pitch += quadraticBipolar(params[FINE_PARAM].value * 2.f - 1.f) * 7.f / 12.f;
float cutoff = 261.626f * powf(2.f, pitch);
filter.cutoff = clamp(cutoff, 1.f, 20000.f);


// Step the filter
filter.process(input, engineGetSampleTime());


// ===================================================================================
struct VCF : Module {
enum ParamIds {
FREQ_PARAM,
FINE_PARAM,
RES_PARAM,
FREQ_CV_PARAM,
DRIVE_PARAM,
NUM_PARAMS
};
enum InputIds {
FREQ_INPUT,
RES_INPUT,
DRIVE_INPUT,
IN_INPUT,
NUM_INPUTS
};
enum OutputIds {
LPF_OUTPUT,
HPF_OUTPUT,
NUM_OUTPUTS
};

//LadderFilter0dfMidPoint filter;
LadderFilterRK4Oversampled filter;
//LadderFilterRK4 filter;

VCF() : Module(NUM_PARAMS, NUM_INPUTS, NUM_OUTPUTS) {}
void step() override;
void onReset() override {
filter.reset();
}
// Set outputs
outputs[LPF_OUTPUT].value = 5.f * filter.lowpass;
outputs[HPF_OUTPUT].value = 5.f * filter.highpass;
}
}; };




void VCF::step()
{
// input stage
float input = inputs[IN_INPUT].value / 5.f;
float gain = std::pow(1.f + params[DRIVE_PARAM].value, 5);

if (inputs[DRIVE_INPUT].active)
gain *= inputs[DRIVE_INPUT].value / 10.f;
input *= gain;
// Add -60dB noise to bootstrap self-oscillation
input += 1e-6f * (2.f*randomUniform() - 1.f);

// Set resonance
float res = clamp(params[RES_PARAM].value + inputs[RES_INPUT].value / 10.f, 0.f, 1.f);
filter.resonance = std::pow(res, 2) * 10.f;

// Set cutoff frequency
float pitch = inputs[FREQ_INPUT].value * quadraticBipolar(params[FREQ_CV_PARAM].value);
pitch += params[FREQ_PARAM].value * 10.f - 3.f;
pitch += quadraticBipolar(params[FINE_PARAM].value * 2.f - 1.f) * 7.f/12.f;
float cutoff = 261.626f * std::pow(2.f, pitch);
filter.cutoff = clamp(cutoff, 1.f, 20000.f);
// Push a sample to the state filter
float outLP, outHP;
filter.process(input, engineGetSampleTime(), outLP, outHP);

// Set outputs
outputs[LPF_OUTPUT].value = 5.0f * outLP;
outputs[HPF_OUTPUT].value = 5.0f * outHP;
}


struct VCFWidget : ModuleWidget { struct VCFWidget : ModuleWidget {
VCFWidget(VCF *module);
VCFWidget(VCF *module) : ModuleWidget(module) {
setPanel(SVG::load(assetPlugin(plugin, "res/VCF.svg")));

addChild(Widget::create<ScrewSilver>(Vec(15, 0)));
addChild(Widget::create<ScrewSilver>(Vec(box.size.x - 30, 0)));
addChild(Widget::create<ScrewSilver>(Vec(15, 365)));
addChild(Widget::create<ScrewSilver>(Vec(box.size.x - 30, 365)));

addParam(ParamWidget::create<RoundHugeBlackKnob>(Vec(33, 61), module, VCF::FREQ_PARAM, 0.f, 1.f, 0.5f));
addParam(ParamWidget::create<RoundLargeBlackKnob>(Vec(12, 143), module, VCF::FINE_PARAM, 0.f, 1.f, 0.5f));
addParam(ParamWidget::create<RoundLargeBlackKnob>(Vec(71, 143), module, VCF::RES_PARAM, 0.f, 1.f, 0.f));
addParam(ParamWidget::create<RoundLargeBlackKnob>(Vec(12, 208), module, VCF::FREQ_CV_PARAM, -1.f, 1.f, 0.f));
addParam(ParamWidget::create<RoundLargeBlackKnob>(Vec(71, 208), module, VCF::DRIVE_PARAM, 0.f, 1.f, 0.f));

addInput(Port::create<PJ301MPort>(Vec(10, 276), Port::INPUT, module, VCF::FREQ_INPUT));
addInput(Port::create<PJ301MPort>(Vec(48, 276), Port::INPUT, module, VCF::RES_INPUT));
addInput(Port::create<PJ301MPort>(Vec(85, 276), Port::INPUT, module, VCF::DRIVE_INPUT));
addInput(Port::create<PJ301MPort>(Vec(10, 320), Port::INPUT, module, VCF::IN_INPUT));

addOutput(Port::create<PJ301MPort>(Vec(48, 320), Port::OUTPUT, module, VCF::LPF_OUTPUT));
addOutput(Port::create<PJ301MPort>(Vec(85, 320), Port::OUTPUT, module, VCF::HPF_OUTPUT));
}
}; };


VCFWidget::VCFWidget(VCF *module) : ModuleWidget(module) {
setPanel(SVG::load(assetPlugin(plugin, "res/VCF.svg")));

addChild(Widget::create<ScrewSilver>(Vec(15, 0)));
addChild(Widget::create<ScrewSilver>(Vec(box.size.x-30, 0)));
addChild(Widget::create<ScrewSilver>(Vec(15, 365)));
addChild(Widget::create<ScrewSilver>(Vec(box.size.x-30, 365)));

addParam(ParamWidget::create<RoundHugeBlackKnob>(Vec(33, 61), module, VCF::FREQ_PARAM, 0.f, 1.f, 0.5f));
addParam(ParamWidget::create<RoundLargeBlackKnob>(Vec(12, 143), module, VCF::FINE_PARAM, 0.f, 1.f, 0.5f));
addParam(ParamWidget::create<RoundLargeBlackKnob>(Vec(71, 143), module, VCF::RES_PARAM, 0.f, 1.f, 0.f));
addParam(ParamWidget::create<RoundLargeBlackKnob>(Vec(12, 208), module, VCF::FREQ_CV_PARAM, -1.f, 1.f, 0.f));
addParam(ParamWidget::create<RoundLargeBlackKnob>(Vec(71, 208), module, VCF::DRIVE_PARAM, 0.f, 1.f, 0.f));

addInput(Port::create<PJ301MPort>(Vec(10, 276), Port::INPUT, module, VCF::FREQ_INPUT));
addInput(Port::create<PJ301MPort>(Vec(48, 276), Port::INPUT, module, VCF::RES_INPUT));
addInput(Port::create<PJ301MPort>(Vec(85, 276), Port::INPUT, module, VCF::DRIVE_INPUT));
addInput(Port::create<PJ301MPort>(Vec(10, 320), Port::INPUT, module, VCF::IN_INPUT));

addOutput(Port::create<PJ301MPort>(Vec(48, 320), Port::OUTPUT, module, VCF::LPF_OUTPUT));
addOutput(Port::create<PJ301MPort>(Vec(85, 320), Port::OUTPUT, module, VCF::HPF_OUTPUT));
}




Model *modelVCF = Model::create<VCF, VCFWidget>("Fundamental", "VCF", "VCF", FILTER_TAG); Model *modelVCF = Model::create<VCF, VCFWidget>("Fundamental", "VCF", "VCF", FILTER_TAG);

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