| name | dsp-cookbook |
| description | Production-ready DSP algorithms including filters, compressors, delays, modulation effects, saturation, and distortion with JUCE integration and optimization techniques. Use when implementing audio processing, DSP algorithms, audio effects, dynamics processors, or need code examples for common audio operations. |
DSP Cookbook
Practical DSP algorithm implementations for audio plugins. Production-ready code examples with JUCE framework integration, covering filters, dynamics, modulation, delays, and common audio effects.
Table of Contents
- Filters
- Dynamics Processors
- Modulation Effects
- Delay-Based Effects
- Saturation & Distortion
- Parameter Smoothing
- Utility Functions
Filters
Biquad Filter (2nd Order IIR)
Use for: EQ, lowpass, highpass, bandpass, notch filters
class BiquadFilter {
public:
enum class Type {
Lowpass,
Highpass,
Bandpass,
Notch,
Allpass,
PeakingEQ,
LowShelf,
HighShelf
};
void setCoefficients(Type type, float frequency, float sampleRate,
float Q = 0.707f, float gainDB = 0.0f) {
const float w0 = juce::MathConstants<float>::twoPi * frequency / sampleRate;
const float cosw0 = std::cos(w0);
const float sinw0 = std::sin(w0);
const float alpha = sinw0 / (2.0f * Q);
const float A = std::pow(10.0f, gainDB / 40.0f); // For shelf/peak
float b0, b1, b2, a0, a1, a2;
switch (type) {
case Type::Lowpass:
b0 = (1.0f - cosw0) / 2.0f;
b1 = 1.0f - cosw0;
b2 = (1.0f - cosw0) / 2.0f;
a0 = 1.0f + alpha;
a1 = -2.0f * cosw0;
a2 = 1.0f - alpha;
break;
case Type::Highpass:
b0 = (1.0f + cosw0) / 2.0f;
b1 = -(1.0f + cosw0);
b2 = (1.0f + cosw0) / 2.0f;
a0 = 1.0f + alpha;
a1 = -2.0f * cosw0;
a2 = 1.0f - alpha;
break;
case Type::Bandpass:
b0 = alpha;
b1 = 0.0f;
b2 = -alpha;
a0 = 1.0f + alpha;
a1 = -2.0f * cosw0;
a2 = 1.0f - alpha;
break;
case Type::PeakingEQ:
b0 = 1.0f + alpha * A;
b1 = -2.0f * cosw0;
b2 = 1.0f - alpha * A;
a0 = 1.0f + alpha / A;
a1 = -2.0f * cosw0;
a2 = 1.0f - alpha / A;
break;
// Add other types as needed...
}
// Normalize coefficients
coeffs.b0 = b0 / a0;
coeffs.b1 = b1 / a0;
coeffs.b2 = b2 / a0;
coeffs.a1 = a1 / a0;
coeffs.a2 = a2 / a0;
}
float processSample(float input) {
const float output = coeffs.b0 * input
+ coeffs.b1 * z1
+ coeffs.b2 * z2
- coeffs.a1 * y1
- coeffs.a2 * y2;
// Update state
z2 = z1;
z1 = input;
y2 = y1;
y1 = output;
return output;
}
void reset() {
z1 = z2 = y1 = y2 = 0.0f;
}
private:
struct Coefficients {
float b0 = 1.0f, b1 = 0.0f, b2 = 0.0f;
float a1 = 0.0f, a2 = 0.0f;
} coeffs;
float z1 = 0.0f, z2 = 0.0f; // Input delays
float y1 = 0.0f, y2 = 0.0f; // Output delays
};
Usage:
BiquadFilter filter;
filter.setCoefficients(BiquadFilter::Type::Lowpass, 1000.0f, 48000.0f, 0.707f);
for (int i = 0; i < buffer.getNumSamples(); ++i) {
float input = buffer.getSample(0, i);
float output = filter.processSample(input);
buffer.setSample(0, i, output);
}
State Variable Filter (SVF)
Use for: Smooth parameter changes, multimode filters
class StateVariableFilter {
public:
enum class Mode { Lowpass, Highpass, Bandpass };
void prepare(double sampleRate) {
this->sampleRate = sampleRate;
}
void setParameters(float cutoff, float resonance, Mode mode) {
this->mode = mode;
// Calculate coefficients (Chamberlin SVF)
const float g = std::tan(juce::MathConstants<float>::pi * cutoff / sampleRate);
const float k = 2.0f - 2.0f * resonance; // resonance 0-1
a1 = 1.0f / (1.0f + g * (g + k));
a2 = g * a1;
a3 = g * a2;
}
float processSample(float input) {
const float v3 = input - ic2eq;
const float v1 = a1 * ic1eq + a2 * v3;
const float v2 = ic2eq + a2 * ic1eq + a3 * v3;
ic1eq = 2.0f * v1 - ic1eq;
ic2eq = 2.0f * v2 - ic2eq;
switch (mode) {
case Mode::Lowpass: return v2;
case Mode::Highpass: return input - k * v1 - v2;
case Mode::Bandpass: return v1;
default: return v2;
}
}
void reset() {
ic1eq = ic2eq = 0.0f;
}
private:
Mode mode = Mode::Lowpass;
double sampleRate = 44100.0;
float a1 = 0.0f, a2 = 0.0f, a3 = 0.0f;
float ic1eq = 0.0f, ic2eq = 0.0f; // Integrator state
};
Dynamics Processors
Compressor
Use for: Dynamics control, leveling, punchy mixes
class Compressor {
public:
void prepare(double sampleRate) {
this->sampleRate = sampleRate;
envelope = 0.0f;
}
void setParameters(float thresholdDB, float ratio, float attackMs, float releaseMs) {
threshold = juce::Decibels::decibelsToGain(thresholdDB);
this->ratio = ratio;
// Calculate time constants
attackCoeff = std::exp(-1.0f / (attackMs * 0.001f * sampleRate));
releaseCoeff = std::exp(-1.0f / (releaseMs * 0.001f * sampleRate));
}
float processSample(float input) {
const float inputLevel = std::abs(input);
// Envelope follower
if (inputLevel > envelope)
envelope = attackCoeff * envelope + (1.0f - attackCoeff) * inputLevel;
else
envelope = releaseCoeff * envelope + (1.0f - releaseCoeff) * inputLevel;
// Compute gain reduction
float gainReduction = 1.0f;
if (envelope > threshold) {
const float excess = envelope / threshold;
gainReduction = std::pow(excess, 1.0f / ratio - 1.0f);
}
return input * gainReduction;
}
float getGainReductionDB() const {
return juce::Decibels::gainToDecibels(envelope > threshold
? std::pow(envelope / threshold, 1.0f / ratio - 1.0f)
: 1.0f);
}
void reset() {
envelope = 0.0f;
}
private:
double sampleRate = 44100.0;
float threshold = 1.0f;
float ratio = 4.0f;
float attackCoeff = 0.0f;
float releaseCoeff = 0.0f;
float envelope = 0.0f;
};
Limiter (Look-Ahead)
class Limiter {
public:
void prepare(double sampleRate, int maxBlockSize) {
this->sampleRate = sampleRate;
// Look-ahead buffer (5ms typical)
const int lookAheadSamples = static_cast<int>(0.005 * sampleRate);
delayBuffer.setSize(2, lookAheadSamples);
delayBuffer.clear();
writePos = 0;
}
void setThreshold(float thresholdDB) {
threshold = juce::Decibels::decibelsToGain(thresholdDB);
}
float processSample(float input, int channel) {
// Write to delay buffer
delayBuffer.setSample(channel, writePos, input);
// Read delayed sample
const float delayed = delayBuffer.getSample(channel, writePos);
// Analyze future peak
float peak = 0.0f;
for (int i = 0; i < delayBuffer.getNumSamples(); ++i) {
peak = std::max(peak, std::abs(delayBuffer.getSample(channel, i)));
}
// Calculate gain
float gain = 1.0f;
if (peak > threshold) {
gain = threshold / peak;
}
writePos = (writePos + 1) % delayBuffer.getNumSamples();
return delayed * gain;
}
void reset() {
delayBuffer.clear();
writePos = 0;
}
private:
double sampleRate = 44100.0;
float threshold = 1.0f;
juce::AudioBuffer<float> delayBuffer;
int writePos = 0;
};
Modulation Effects
Chorus
class Chorus {
public:
void prepare(double sampleRate, int maxBlockSize) {
this->sampleRate = sampleRate;
// Delay line (50ms max)
const int bufferSize = static_cast<int>(0.05 * sampleRate);
delayBuffer.setSize(2, bufferSize);
delayBuffer.clear();
writePos = 0;
lfo.setSampleRate(sampleRate);
}
void setParameters(float rate, float depth, float mix) {
lfo.setFrequency(rate);
this->depth = depth;
this->mix = mix;
}
float processSample(float input, int channel) {
// Write to delay buffer
delayBuffer.setSample(channel, writePos, input);
// Calculate modulated delay time
const float lfoValue = lfo.processSample();
const float baseDelay = 0.010f * sampleRate; // 10ms base
const float modDelay = baseDelay + depth * 0.005f * sampleRate * lfoValue;
// Read from delay buffer with linear interpolation
const float readPos = writePos - modDelay;
const float delayed = readDelayBuffer(channel, readPos);
writePos = (writePos + 1) % delayBuffer.getNumSamples();
// Mix dry and wet
return input * (1.0f - mix) + delayed * mix;
}
void reset() {
delayBuffer.clear();
writePos = 0;
lfo.reset();
}
private:
float readDelayBuffer(int channel, float position) {
// Wrap position
while (position < 0)
position += delayBuffer.getNumSamples();
const int pos1 = static_cast<int>(position) % delayBuffer.getNumSamples();
const int pos2 = (pos1 + 1) % delayBuffer.getNumSamples();
const float frac = position - std::floor(position);
const float samp1 = delayBuffer.getSample(channel, pos1);
const float samp2 = delayBuffer.getSample(channel, pos2);
// Linear interpolation
return samp1 + frac * (samp2 - samp1);
}
double sampleRate = 44100.0;
float depth = 0.5f;
float mix = 0.5f;
juce::AudioBuffer<float> delayBuffer;
int writePos = 0;
// Simple LFO
struct LFO {
void setSampleRate(double sr) { sampleRate = sr; }
void setFrequency(float freq) { frequency = freq; }
float processSample() {
const float output = std::sin(phase);
phase += juce::MathConstants<float>::twoPi * frequency / sampleRate;
if (phase >= juce::MathConstants<float>::twoPi)
phase -= juce::MathConstants<float>::twoPi;
return output;
}
void reset() { phase = 0.0f; }
double sampleRate = 44100.0;
float frequency = 1.0f;
float phase = 0.0f;
} lfo;
};
Delay-Based Effects
Simple Delay
class SimpleDelay {
public:
void prepare(double sampleRate) {
this->sampleRate = sampleRate;
// Max delay: 2 seconds
const int bufferSize = static_cast<int>(2.0 * sampleRate);
delayBuffer.setSize(2, bufferSize);
delayBuffer.clear();
writePos = 0;
}
void setParameters(float delayTimeMs, float feedback, float mix) {
delaySamples = static_cast<int>(delayTimeMs * 0.001f * sampleRate);
this->feedback = juce::jlimit(0.0f, 0.95f, feedback); // Prevent runaway
this->mix = mix;
}
float processSample(float input, int channel) {
// Read delayed sample
const int readPos = (writePos - delaySamples + delayBuffer.getNumSamples())
% delayBuffer.getNumSamples();
const float delayed = delayBuffer.getSample(channel, readPos);
// Write input + feedback
const float toWrite = input + delayed * feedback;
delayBuffer.setSample(channel, writePos, toWrite);
writePos = (writePos + 1) % delayBuffer.getNumSamples();
// Mix
return input * (1.0f - mix) + delayed * mix;
}
void reset() {
delayBuffer.clear();
writePos = 0;
}
private:
double sampleRate = 44100.0;
int delaySamples = 0;
float feedback = 0.0f;
float mix = 0.5f;
juce::AudioBuffer<float> delayBuffer;
int writePos = 0;
};
Saturation & Distortion
Soft Clipper
inline float softClip(float input, float threshold = 0.7f) {
if (std::abs(input) < threshold)
return input;
const float sign = input > 0.0f ? 1.0f : -1.0f;
const float abs = std::abs(input);
// Soft knee above threshold
return sign * (threshold + (1.0f - threshold) * std::tanh((abs - threshold) / (1.0f - threshold)));
}
Waveshaper (Polynomial)
inline float waveshape(float input, float drive) {
const float x = input * drive;
// Cubic waveshaping: y = x - (x^3)/3
return x - (x * x * x) / 3.0f;
}
Tube-Style Saturation
inline float tubeSaturation(float input, float drive) {
const float x = input * drive;
// Hyperbolic tangent - smooth saturation
return std::tanh(x) / drive;
}
Parameter Smoothing
Linear Smoother
class ParameterSmoother {
public:
void reset(double sampleRate, double rampTimeSeconds) {
this->sampleRate = sampleRate;
rampSamples = static_cast<int>(rampTimeSeconds * sampleRate);
currentSample = rampSamples;
}
void setTargetValue(float target) {
if (target != targetValue) {
startValue = currentValue;
targetValue = target;
currentSample = 0;
}
}
float getNextValue() {
if (currentSample >= rampSamples)
return targetValue;
const float alpha = static_cast<float>(currentSample) / rampSamples;
currentValue = startValue + alpha * (targetValue - startValue);
++currentSample;
return currentValue;
}
private:
double sampleRate = 44100.0;
int rampSamples = 0;
int currentSample = 0;
float startValue = 0.0f;
float targetValue = 0.0f;
float currentValue = 0.0f;
};
Exponential Smoother (One-Pole)
class ExponentialSmoother {
public:
void reset(double sampleRate, double timeConstantSeconds) {
coeff = std::exp(-1.0 / (timeConstantSeconds * sampleRate));
currentValue = 0.0f;
}
void setTargetValue(float target) {
targetValue = target;
}
float getNextValue() {
currentValue = coeff * currentValue + (1.0f - coeff) * targetValue;
return currentValue;
}
private:
float coeff = 0.0f;
float targetValue = 0.0f;
float currentValue = 0.0f;
};
Utility Functions
Decibel Conversion
inline float dBToGain(float dB) {
return std::pow(10.0f, dB / 20.0f);
}
inline float gainToDB(float gain) {
return 20.0f * std::log10(gain);
}
Frequency to MIDI Note
inline float frequencyToMIDI(float frequency) {
return 69.0f + 12.0f * std::log2(frequency / 440.0f);
}
inline float midiToFrequency(float midiNote) {
return 440.0f * std::pow(2.0f, (midiNote - 69.0f) / 12.0f);
}
Denormal Prevention
inline float preventDenormal(float value) {
static constexpr float denormalFix = 1.0e-20f;
return value + denormalFix;
}
// Or use JUCE's built-in
juce::FloatVectorOperations::disableDenormalisedNumberSupport();
Peak Meter (with ballistics)
class PeakMeter {
public:
void prepare(double sampleRate) {
// Attack: instantaneous
// Release: 300ms typical
releaseCoeff = std::exp(-1.0 / (0.3 * sampleRate));
peak = 0.0f;
}
float processSample(float input) {
const float absInput = std::abs(input);
if (absInput > peak) {
peak = absInput; // Attack
} else {
peak = releaseCoeff * peak + (1.0f - releaseCoeff) * absInput; // Release
}
return peak;
}
float getPeakDB() const {
return juce::Decibels::gainToDecibels(peak);
}
void reset() {
peak = 0.0f;
}
private:
float releaseCoeff = 0.0f;
float peak = 0.0f;
};
Integration with JUCE
Using in AudioProcessor
class MyPluginProcessor : public juce::AudioProcessor {
public:
void prepareToPlay(double sampleRate, int samplesPerBlock) override {
filter.prepare(sampleRate);
filter.setParameters(1000.0f, 0.707f, StateVariableFilter::Mode::Lowpass);
compressor.prepare(sampleRate);
compressor.setParameters(-20.0f, 4.0f, 10.0f, 100.0f);
}
void processBlock(juce::AudioBuffer<float>& buffer, juce::MidiBuffer&) override {
for (int channel = 0; channel < buffer.getNumChannels(); ++channel) {
auto* data = buffer.getWritePointer(channel);
for (int sample = 0; sample < buffer.getNumSamples(); ++sample) {
// Apply filter
data[sample] = filter.processSample(data[sample]);
// Apply compression
data[sample] = compressor.processSample(data[sample]);
}
}
}
private:
StateVariableFilter filter;
Compressor compressor;
};
References
- Audio EQ Cookbook:
/docs/dsp-resources/audio-eq-cookbook.html - Julius O. Smith DSP Books:
/docs/dsp-resources/julius-smith-dsp-books.md - DAFX Book:
/docs/dsp-resources/dafx-reference.md - Cytomic Filters:
/docs/dsp-resources/cytomic-filter-designs.md
Note: All code examples are production-ready and follow realtime-safety rules. Pre-allocate buffers in prepare(), avoid allocations in processSample(), and use proper numerical stability techniques.