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"))
用于异常检测的紧凑声学/振动特征向量：rms、peak、crest_factor、zcr、spectral_centroid(Hz)、peak_freq(Hz)、bandwidth(Hz)。全部有限——含 NaN / Inf 的样本会抛出 ValueError，而不是产生 NaN 特征(自 2026-10-12 起空信号亦然；此前返回零)。
> 以下的详细说明为原文 —— 摘要与标题已翻译。
The three spectral entries are built on 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.
Empty input (x with 0 elements) raises ValueError.
• 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。
• gallery_oned_audio_funct — py -3.11 examples/gallery_oned_audio_funct.py
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.