signal op• 資料種類:signal → table
• 呼叫: import fullseye as fs; fs.ledger.signal_features(x, rate=1.0)(要直接呼叫實作,import dsp; dsp.signal_features(x, rate=1.0);從台帳取用則 ops1d.get("signal_features"))
> 該運算子的說明尚無譯文,以下照原文給出。
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.
• 範例資料目錄(下載 URL / 授權) —— 2-D 用 skimage.data(BSD/公有領域)加合成圖,3-D 給出真實資料源(Stanford/PDS 等)的下載 URL。
• 運算子來歷與參考文獻 —— 該運算子族所依據的研究/方法出處。
• 演算法的正典(作者・年份)與用途見上面的族使用指南。
• (尚無)
table 作為輸入)—
signal)lowpass · highpass · bandpass · envelope · rms · local_std · quantize · companding_mu_law
*Provenance: dsp.py — ONED 運算子登記表。本條目由 tools/opdocs.py md 自動產生(請勿手動編輯)。*
© 2026 Kazufumi Furuse — Fullseye operator documentation. Licensed under Apache-2.0.