tb_equivalent_level — 2D typed op

Data kinds: signalfeature

Call: fullseye.apply(img, "tb_equivalent_level", a=0.5, b=0.5) (the 2-D model is one image plus two scalar knobs a,b∈[0,1])

Usage

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.

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.

Runnable examples (verified samples that actually call this op)

• (none yet)

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

identity

Same category (typed)

tb_points_to_voxel · tb_estimate_point_normals · tb_iss_keypoints · tb_angle_3points · tb_project_points · tb_render_point_depth · tb_statistical_outlier_removal · tb_radius_outlier_removal


*Provenance: ops.py — 2D 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.