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Measures average absolute difference between a signal and its delayed copy; minima indicate periodicity.\n\n```js\nlet result = amdf(samples, { fs: 44100 })\n```\n\n| Param | Default | |\n|---|---|---|\n| `fs` | `44100` | Sample rate (Hz) |\n| `minFreq` | `50` | Minimum detectable frequency (Hz) |\n| `maxFreq` | `2000` | Maximum detectable frequency (Hz) |\n| `threshold` | `0.3` | Normalized AMDF dip threshold |\n\n**Use when:** Low-complexity environments, embedded systems. Simpler and cheaper than YIN (no squaring, no cumulative normalization).
\n**Not for:** Noisy signals — lacks YIN's cumulative normalization that suppresses octave errors.
\n**Ref:** Ross et al., [\"Average magnitude difference function pitch extractor\"](https://doi.org/10.1109/TASSP.1974.1162598), IEEE TASSP 1974.
\n**Complexity:** $O(N^2/4)$.\n\n---\n\nPart of [@audio/pitch](https://github.com/audiojs/pitch) — the pitch family umbrella. This README is generated from the umbrella docs.\n\nMIT © [audiojs](https://github.com/audiojs)\n","readmeFilename":"README.md"}