tb_equivalent_level — 2D typed op

データ種: signalfeature

呼び出し: fullseye.apply(img, "tb_equivalent_level", a=0.5, b=0.5) (2-D は 1 画像 + 2 スカラつまみ a,b∈[0,1] のモデル)

tb_equivalent_level: input → output

*図は合成の入力 128×128 で実際に走らせた出力。左が入力、右が出力。点群は上から見た散布(明るさ = z)、1-D 列は折れ線、体積は z 方向の最大値投影、動画は中央フレーム、複素画像は振幅、絵にならない返り値は値そのもの。*

つまみ a を振る(0.1 / 0.5 / 0.9、もう一方は既定):

tb_equivalent_level: knob a sweep (docs site)

*つまみ b は出力を変えない(実測: 0.1 / 0.5 / 0.9 で同一)。*

段階(前置きの op → この op。左から順):

tb_equivalent_level: stages (docs site)

使い方

The energy-equivalent level of a record, in dB relative to `ref`.

`L_eq = 10 log10(mean(x_w**2) / ref**2) where x_w` is the signal after

the chosen weighting. Returns a plain float.

The reference is yours to supply. The default `ref=1.0` means dB

relative to one unit of the signal's own units; it is not dB SPL, because

this library never sees your calibration. Pass `ref=20e-6` for pascals.

Measured: a 1 kHz sine of amplitude 1.0 at 16 kHz over exactly 1000 periods

gives `L_eq = -3.010300` dB with Z weighting, against the closed form

`10*log10(1/2) = -3.010300` (difference 2.2e-15 dB), and the same value

under A weighting (difference 8.9e-16 dB), because A is 0 dB at 1 kHz.

Doubling the amplitude adds 6.020600 dB. Silence returns -200.0.

Silence returns `floor_db (default -200) rather than -inf; an -inf`

in a list of levels destroys every average taken over it afterwards.

**A weighted level is only as good as the weighting, and the weighting has a

leakage limit this operator inherits in full.** A pure tone that is not a

whole number of periods in the record comes back too loud — measured

+7.7986 dB at 31.5 Hz (a nominal one-third-octave centre) over 0.5 s at

48 kHz, and up to +17.2116 dB at 20.5 Hz — with no exception, no NaN and

no warning. `weighting="Z" is exempt (it does no filtering) and "C"` is

nearly so (+0.0493 dB on the same tone); it is `"A"`, whose curve spans

about 40 dB across the audio band, that is exposed.

`window="hann"` is the opt-in remedy: the record is multiplied by a Hann

window and the mean square divided by the window's own mean square, which

suppresses the leakage almost entirely — the 31.5 Hz error goes from

+7.7986 to +0.0534 dB and the 20.5 Hz error from +17.2116 to

+0.1841 — while costing about 0.15 dB on records that were exact

before. It is not the default, and must not be used when a transient's

level is the point: a window makes the answer depend on *where in the

record the sound happened*. Measured on a 50 ms burst inside a 0.5 s record

(Z weighting, so only the window acts; unwindowed all three are -13.0103 dB

as they must be): at the start -36.0587, at the centre -8.8218, at

the end -36.0587 — a 27 dB spread produced by nothing but position.

Use `"hann"` for a stationary tonal record, which is exactly the case the

leakage ruins, and `"none"` (the default, an honest energy average) for

everything else. The full measurement is in :func:apply_weighting.

Raises `ValueError: everything :func:_as_signal` refuses, an unknown

`weighting or window, ref <= 0` (a decibel needs a positive reference; a zero

reference makes every level `+inf` and a negative one makes the ratio

negative), `rate <= 0`.

Typed bridge of the acoustics op `equivalent_level into the 2-D evolution registry: the same implementation, called under the op(v, a, b) convention. a drives ref (default 1); b` is unused.

参考(サンプルデータ・文献)

• サンプルデータ カタログ(DL URL / ライセンス) — 2-D は skimage.data(BSD/public)+ 合成、3-D は実データ源(Stanford/PDS 等)の DL URL。

• 演算子の来歴・参考文献 — この op 族の元になった研究/手法の出典。

Studio で試す

下のプログラムは実際に走ることを確かめてある(図と同じ入力)。Studio のヘルプではこのブロックがボタンになり、その場で読み込んで実行できる。

img_to_signal 0.50 0.50
tb_equivalent_level 0.50 0.50

▸ Load this pipeline  ·  Load & run

実行できる例(この op を実際に呼ぶ検証済みサンプル)

次の例は元の台帳 op equivalent_level を呼ぶもの。この橋渡し op は同じ実装を fn(v, a, b) 規約に合わせただけなので、挙動はそのまま当てはまる(呼び出し形だけ違う)。

acoustic_condition_monitoringpy -3.11 examples/acoustic_condition_monitoring.py

型が繋がる次の op(feature を入力に取れる)

identity · feature_to_img

同カテゴリ(typed)

tb_points_to_voxel · tb_estimate_point_normals · tb_iss_keypoints · tb_project_points · tb_render_point_depth · tb_statistical_outlier_removal · tb_radius_outlier_removal · tb_voxel_grid_downsample


*Provenance: ops.py — 2D operator registry. この per-op ノートは tools/opdocs.py md が自動生成(手編集しない)。*

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