feat(02-01): implement synth config, oscillator, and layer

- synth/config.go: FreqConfig, HarmonicDef types; ClassFreqConfigs for all 11 traffic classes
  with frequencies in 60-800 Hz using musical intervals; pan positions per D-12
- synth/oscillator.go: phase-accumulator oscillator with additive harmonic synthesis
  and phase subtraction wrap (not math.Mod) per D-05
- synth/layer.go: EMA amplitude smoothing with tau-based alpha; whisper floor (0.03)
  prevents silence once class has been seen; UpdateTarget/AdvanceSample interface
- All 12 tests pass (TestAllClassesHaveConfig, TestFrequenciesUnique, TestEMAAmplitudeRise, etc.)
This commit is contained in:
2026-03-26 11:58:44 +01:00
parent bb13527281
commit 1aaa15de0b
3 changed files with 152 additions and 0 deletions
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package synth
import "github.com/netsynth/netsynth/classify"
const (
SampleRate = 44100 // D-13: CD quality
WindowMs = 500 // matches aggregate.DefaultWindowMs
SamplesPerWindow = SampleRate * WindowMs / 1000 // 22050
NumLayers = 11
GainPerLayer = 1.0 / float64(NumLayers) // D-10: ~0.0909
WhisperFloor = 0.03 // D-08/D-09: 3% of max amplitude
)
// HarmonicDef defines one partial in an additive synthesizer.
type HarmonicDef struct {
Ratio int // harmonic number: 1=fundamental, 2=octave, 3=fifth+octave, etc.
Amplitude float64 // relative weight
}
// FreqConfig holds synthesis parameters for one traffic class.
type FreqConfig struct {
BaseHz float64
Harmonics []HarmonicDef
Pan float64 // [-1, 1]: -1=full left, 0=center, +1=full right
}
// ClassFreqConfigs maps each traffic class to its synthesis parameters.
// Frequencies use musical intervals per D-02/D-03. Harmonics per D-05/D-06.
// Pan positions per D-12.
var ClassFreqConfigs = map[classify.TrafficClass]FreqConfig{
classify.ClassICMP: {65.0, []HarmonicDef{{1, 1.0}, {2, 0.4}, {3, 0.15}}, 0.0},
classify.ClassDNS: {110.0, []HarmonicDef{{1, 1.0}, {2, 0.5}, {3, 0.25}}, -0.2},
classify.ClassHTTPS: {175.0, []HarmonicDef{{1, 1.0}, {2, 0.6}, {3, 0.3}}, 0.2},
classify.ClassHTTP: {220.0, []HarmonicDef{{1, 1.0}, {2, 0.5}, {4, 0.2}}, -0.35},
classify.ClassSSH: {330.0, []HarmonicDef{{1, 1.0}, {3, 0.6}, {5, 0.3}}, 0.35},
classify.ClassSMTP: {440.0, []HarmonicDef{{1, 1.0}, {2, 0.3}, {3, 0.1}}, -0.55},
classify.ClassNTP: {520.0, []HarmonicDef{{1, 1.0}, {2, 0.25}}, 0.55},
classify.ClassDHCP: {600.0, []HarmonicDef{{1, 1.0}, {2, 0.35}, {3, 0.15}}, -0.75},
classify.ClassOtherTCP: {700.0, []HarmonicDef{{1, 1.0}, {2, 0.2}}, 0.75},
classify.ClassOtherUDP: {780.0, []HarmonicDef{{1, 1.0}, {2, 0.2}}, -0.75},
// D-04: 437 Hz is ~12 cents flat from A4 (440 Hz/SMTP).
// Creates 3 Hz beating when SMTP is present = dissonant "doesn't belong" signal.
classify.ClassUnknown: {437.0, []HarmonicDef{{1, 1.0}, {2, 0.8}, {3, 0.4}}, 0.0},
}
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package synth
import "math"
// EMAAlpha computes the per-sample smoothing coefficient for a given time constant.
// tau=1.0 at SR=44100 gives alpha ~0.0000227 (63% of target reached in 1 second). Per D-07.
func EMAAlpha(tau float64, sampleRate int) float64 {
return 1.0 - math.Exp(-1.0/(tau*float64(sampleRate)))
}
// Layer combines an oscillator with EMA amplitude smoothing for one traffic class.
type Layer struct {
Config FreqConfig
Osc *Oscillator
currentAmp float64
targetAmp float64
alpha float64 // EMA coefficient
seen bool // whether this class has ever had count > 0
whisper float64 // whisper floor amplitude (D-08)
}
// NewLayer creates a Layer for the given config using the specified sample rate and EMA time constant (tau in seconds).
func NewLayer(cfg FreqConfig, sampleRate int, tau float64) *Layer {
return &Layer{
Config: cfg,
Osc: NewOscillator(cfg.BaseHz, sampleRate),
alpha: EMAAlpha(tau, sampleRate),
whisper: WhisperFloor,
}
}
// UpdateTarget sets the target amplitude from a packet count and max count across all classes.
// Per D-07/D-08/D-09: once seen, floor is whisper; amplitude scales linearly with normalized rate.
func (l *Layer) UpdateTarget(count int64, maxCount int64) {
if count > 0 {
l.seen = true
}
if !l.seen {
l.targetAmp = 0.0
return
}
normalizedRate := 0.0
if maxCount > 0 {
normalizedRate = float64(count) / float64(maxCount)
}
l.targetAmp = l.whisper + (1.0-l.whisper)*normalizedRate
}
// AdvanceSample renders one sample and advances the EMA amplitude toward target.
// Returns the raw mono sample (before pan/gain).
func (l *Layer) AdvanceSample() float64 {
sample := l.Osc.Advance(l.Config.Harmonics)
l.currentAmp += l.alpha * (l.targetAmp - l.currentAmp)
return sample * l.currentAmp
}
// CurrentAmp returns the current amplitude (for testing).
func (l *Layer) CurrentAmp() float64 {
return l.currentAmp
}
// TargetAmp returns the target amplitude (for testing).
func (l *Layer) TargetAmp() float64 {
return l.targetAmp
}
// Seen returns whether this layer has ever received traffic (for testing).
func (l *Layer) Seen() bool {
return l.seen
}
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package synth
import "math"
// Oscillator is a phase-accumulator oscillator that generates additive sine waveforms.
type Oscillator struct {
phase float64
freq float64
sr float64
}
// NewOscillator creates an oscillator at the given frequency and sample rate.
func NewOscillator(freq float64, sampleRate int) *Oscillator {
return &Oscillator{freq: freq, sr: float64(sampleRate)}
}
// Advance returns one sample: fundamental + harmonics summed and normalized to [-1, 1].
func (o *Oscillator) Advance(harmonics []HarmonicDef) float64 {
sum := 0.0
totalWeight := 0.0
for _, h := range harmonics {
sum += h.Amplitude * math.Sin(2*math.Pi*o.phase*float64(h.Ratio))
totalWeight += h.Amplitude
}
o.phase += o.freq / o.sr
if o.phase >= 1.0 {
o.phase -= 1.0
}
if totalWeight > 0 {
return sum / totalWeight
}
return 0
}
// Phase returns the current phase (for testing).
func (o *Oscillator) Phase() float64 {
return o.phase
}