ae_band_power — DRIVE grind op

• Data kinds: signal × scalar → table

• Call: import fullseye as fs; fs.ledger.ae_band_power(x, rate: 'float', f_lo: 'float' = 100000.0, f_hi: 'float' = 1000000.0, start: 'int' = 0, stop: 'int | None' = None, win: 'int' = 4096) -> 'dict' (to call the implementation directly, import grind; grind.ae_band_power(x, rate: 'float', f_lo: 'float' = 100000.0, f_hi: 'float' = 1000000.0, start: 'int' = 0, stop: 'int | None' = None, win: 'int' = 4096) -> 'dict'; from the registry, opsdrive.get("ae_band_power"))

Usage

> This operator's description has not been translated yet. The original text follows as it is.

AE の帯域電力を 2 通りで出す(一方は公開の解析コードの定義、他方は `acoustics.stft` の密度スペクトル)。

• `power_fft: 窓なし FFT の振幅 2|X|/N の二乗を f_lo ≤ f ≤ f_hi` で足した値 [V²] (解析コードと同じ。正弦波の振幅 A なら A²)。

• `power_stft: acoustics.stft(scaling="density")` の内側のコマの PSD を帯域で積分した平均 [V²] (= 帯域の平均二乗)。

Parseval で `power_fft ≈ 2 · power_stft(振幅² は平均二乗の 2 倍)。比 ratio = power_fft / (2 power_stft)` を返す。

• `band_series / times: コマごとの帯域電力(スペクトログラムの帯の時間変化)、spectrogram_db` は表示用(帯に関係なく全帯域)。

`start / stop` は標本の切り出し(解析コードは雑音の区間を飛ばすため 200013 から)。

References (sample data, literature)

• Sample-data catalog (download URLs / licences) — 2-D uses skimage.data (BSD/public domain) plus synthetic images; 3-D lists download URLs for real data sources (Stanford, PDS, …).

• Operator provenance and references — the sources of the research/methods this op family came from.

• The canonical algorithm (author, year) and its uses are named in the family usage guide above.

Runnable examples (verified samples that actually call this op)

• poc_powder_grinding_ae — py -3.11 examples/poc_powder_grinding_ae.py

Ops the type connects to (they accept table as input)

course_layout · course_occupancy · course_contains · world_build · world_camera · world_move · lidar_scan · rss_longitudinal_same

Same category (grind)

particle_size_read · particle_size_dx · particle_size_oversize · particle_size_synth · comminution_energy · comminution_law_fit · breakage_first_order_fit · replicate_compare


*Provenance: grind.py — DRIVE operator registry. This per-op note is generated by tools/opdocs.py md (do not hand-edit).*

© 2026 Kazufumi Furuse — Fullseye operator documentation. Licensed under Apache-2.0.