signal_features — ONED 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"))

用法

> 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 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.

參考(範例資料、文獻)

• 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。

可執行的範例(實際呼叫該運算子並已驗證的樣例)

• (尚無)

型別可銜接的下一個運算子(可接受 table 作為輸入)

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同類別(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.