summaryrefslogtreecommitdiff
path: root/tools/mq_editor/fft.js
blob: 0d54eaec9603769c11cdda9e718178743aee7a42 (plain)
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
// Fast Fourier Transform (adapted from spectral_editor/dct.js)
// Radix-2 Cooley-Tukey algorithm

// Bit-reversal permutation (in-place)
function bitReversePermute(real, imag, N) {
  let temp_bits = N;
  let num_bits = 0;
  while (temp_bits > 1) {
    temp_bits >>= 1;
    num_bits++;
  }

  for (let i = 0; i < N; ++i) {
    let j = 0;
    let temp = i;
    for (let b = 0; b < num_bits; ++b) {
      j = (j << 1) | (temp & 1);
      temp >>= 1;
    }

    if (j > i) {
      const tmp_real = real[i];
      const tmp_imag = imag[i];
      real[i] = real[j];
      imag[i] = imag[j];
      real[j] = tmp_real;
      imag[j] = tmp_imag;
    }
  }
}

// In-place radix-2 FFT
// direction: +1 for forward, -1 for inverse
function fftRadix2(real, imag, N, direction) {
  const PI = Math.PI;

  for (let stage_size = 2; stage_size <= N; stage_size *= 2) {
    const half_stage = stage_size / 2;
    const angle = direction * 2.0 * PI / stage_size;

    let wr = 1.0;
    let wi = 0.0;
    const wr_delta = Math.cos(angle);
    const wi_delta = Math.sin(angle);

    for (let k = 0; k < half_stage; ++k) {
      for (let group_start = k; group_start < N; group_start += stage_size) {
        const i = group_start;
        const j = group_start + half_stage;

        const temp_real = real[j] * wr - imag[j] * wi;
        const temp_imag = real[j] * wi + imag[j] * wr;

        real[j] = real[i] - temp_real;
        imag[j] = imag[i] - temp_imag;
        real[i] = real[i] + temp_real;
        imag[i] = imag[i] + temp_imag;
      }

      const wr_old = wr;
      wr = wr_old * wr_delta - wi * wi_delta;
      wi = wr_old * wi_delta + wi * wr_delta;
    }
  }
}

// Forward FFT: Time domain → Frequency domain
function fftForward(real, imag, N) {
  bitReversePermute(real, imag, N);
  fftRadix2(real, imag, N, +1);
}

// Real FFT wrapper for MQ extraction
// Input: Float32Array (time-domain signal)
// Output: Float32Array (interleaved [re0, im0, re1, im1, ...])
function realFFT(signal) {
  const N = signal.length;

  // Must be power of 2
  if ((N & (N - 1)) !== 0) {
    throw new Error('FFT size must be power of 2');
  }

  const real = new Float32Array(N);
  const imag = new Float32Array(N);

  // Copy input to real part
  for (let i = 0; i < N; ++i) {
    real[i] = signal[i];
  }

  // Compute FFT
  fftForward(real, imag, N);

  // Interleave output
  const spectrum = new Float32Array(N * 2);
  for (let i = 0; i < N; ++i) {
    spectrum[i * 2] = real[i];
    spectrum[i * 2 + 1] = imag[i];
  }

  return spectrum;
}

// STFT Cache - Pre-computes and caches windowed FFT frames
class STFTCache {
  constructor(signal, sampleRate, fftSize, hopSize) {
    this.signal = signal;
    this.sampleRate = sampleRate;
    this.fftSize = fftSize;
    this.hopSize = hopSize;
    this.frames = []; // Array of {time, offset, squaredAmplitude}
    this.compute();
  }

  compute() {
    this.frames = [];
    this.maxDB = -Infinity;
    const numFrames = Math.floor((this.signal.length - this.fftSize) / this.hopSize);

    for (let frameIdx = 0; frameIdx < numFrames; ++frameIdx) {
      const offset = frameIdx * this.hopSize;
      const time = offset / this.sampleRate;

      // Extract frame
      const frame = this.signal.slice(offset, offset + this.fftSize);

      // Apply Hann window
      const windowed = new Float32Array(this.fftSize);
      for (let i = 0; i < this.fftSize; ++i) {
        const w = 0.5 - 0.5 * Math.cos(2 * Math.PI * i / this.fftSize);
        windowed[i] = frame[i] * w;
      }

      // Compute FFT, store squared amplitudes and phase
      const fftOut = realFFT(windowed);
      const squaredAmplitude = new Float32Array(this.fftSize / 2);
      const phase = new Float32Array(this.fftSize / 2);
      for (let i = 0; i < this.fftSize / 2; ++i) {
        const re = fftOut[i * 2];
        const im = fftOut[i * 2 + 1];
        squaredAmplitude[i] = re * re + im * im;
        phase[i] = Math.atan2(im, re); // Cache phase for tracking
        const db = 10 * Math.log10(Math.max(squaredAmplitude[i], 1e-20));
        if (db > this.maxDB) this.maxDB = db;
      }

      this.frames.push({time, offset, squaredAmplitude, phase});
    }

    if (!isFinite(this.maxDB)) this.maxDB = 0;
  }

  setHopSize(hopSize) {
    if (hopSize === this.hopSize) return;
    this.hopSize = hopSize;
    this.compute();
  }

  setFFTSize(fftSize) {
    if (fftSize === this.fftSize) return;
    this.fftSize = fftSize;
    this.compute();
  }

  getNumFrames() {
    return this.frames.length;
  }

  getFrameAtIndex(frameIdx) {
    if (frameIdx < 0 || frameIdx >= this.frames.length) return null;
    return this.frames[frameIdx];
  }

  getFrameAtTime(t) {
    if (this.frames.length === 0) return null;

    // Find closest frame
    const frameIdx = Math.floor(t * this.sampleRate / this.hopSize);
    return this.getFrameAtIndex(frameIdx);
  }

  getSquaredAmplitude(t) {
    const frame = this.getFrameAtTime(t);
    return frame ? frame.squaredAmplitude : null;
  }

  // Get magnitude in dB at specific time and frequency
  getMagnitudeDB(t, freq) {
    const sq = this.getSquaredAmplitude(t);
    if (!sq) return -80;

    const bin = Math.round(freq * this.fftSize / this.sampleRate);
    if (bin < 0 || bin >= this.fftSize / 2) return -80;

    return 10 * Math.log10(Math.max(sq[bin], 1e-20));
  }
}