signal op• 数据种类:signal → table
• 调用: import fullseye as fs; fs.ledger.signal_features(x, rate=1.0)(要直接调用实现,import dsp; dsp.signal_features(x, rate=1.0);从台账取用则 ops1d.get("signal_features"))
> 该算子的说明尚无译文,以下照原文给出。
A compact acoustic/vibration feature vector for anomaly detection:
`rms, peak, crest_factor, zcr, spectral_centroid` (Hz),
`peak_freq (Hz), bandwidth` (Hz). All finite — a NaN / Inf sample raises
`ValueError` rather than producing NaN features; empty signal -> zeros.
The three spectral entries are built on :func:spectrum, but every one of
them is a *ratio* of magnitudes (`argmax`, a magnitude-weighted mean, a
magnitude-weighted spread), so the raw `|rfft|` convention documented there
cancels out and these numbers are unaffected by it. `rms, peak` and
`crest_factor` are computed in the time domain and never touch the FFT.
• 示例数据目录(下载 URL / 许可证) —— 2-D 用 skimage.data(BSD/公有领域)加合成图,3-D 给出真实数据源(Stanford/PDS 等)的下载 URL。
• 算子来历与参考文献 —— 该算子族所依据的研究/方法出处。
• 算法的正典(作者・年份)与用途见上面的族使用指南。
• (暂无)
table 作为输入)—
signal)lowpass · highpass · bandpass · envelope · rms · local_std · quantize · companding_mu_law
*Provenance: dsp.py — ONED 算子登记表。本条目由 tools/opdocs.py md 自动生成(请勿手工编辑)。*
© 2026 Kazufumi Furuse — Fullseye operator documentation. Licensed under Apache-2.0.