level op• Data kinds: signal → signal
• Call: import fullseye as fs; fs.ledger.weighting_response(freqs, kind='A', floor_db=-200.0) (implementation को सीधे call करना हो तो import acoustics; acoustics.weighting_response(freqs, kind='A', floor_db=-200.0), registry से लेना हो तो opsacoustics.get("weighting_response"))
दी गई frequencies पर A / C / Z frequency-weighting curve, dB में।
> नीचे का विस्तृत विवरण मूल text में है — सारांश और headings का अनुवाद हो चुका है।
Computed from the four pole frequencies that *define* the networks and normalised so that the response at 1 kHz is exactly 0 dB by construction — the curve is divided by its own value at 1 kHz rather than having a published offset constant added to it. That is why the tests can assert equality at 1 kHz to 0.0 rather than to a tolerance, and why no standard's table of attenuations appears anywhere in this repository.
The response depends on f only through f**2, so it is an even function and negative frequencies are evaluated at |f| — that is the definition, not a repair. f = 0 has zero response (both curves have a zero at DC) and is reported as floor_db rather than -inf.
Measured (computed, then printed — these are outputs, not transcriptions):
======== ========= =========
f (Hz) A (dB) C (dB)
======== ========= =========
10 -70.4304 -14.3300
31.5 -39.5250 -3.0305
100 -19.1428 -0.2996
1000 0.0000 0.0000
4000 0.9633 -0.8260
10000 -2.4918 -4.4055
20000 -9.3469 -11.2786
======== ========= =========
A(1000) and C(1000) are exactly 0.0 — the Python float, not a rounding — because of the construction. The low-frequency asymptote is a closed form and is asserted in the tests: A falls at exactly 80 dB/decade as f -> 0 (f**4 over three constants) and C at exactly 40 dB/decade (f**2). Measured between 0.001 and 0.01 Hz with the floor lowered out of the way: 79.999998 and 39.999998 dB/decade.
That last caveat is real and is why the floor is an argument: with the default floor_db = -200 the A curve reaches the floor below about 0.35 Hz (unfloored, A(0.1) = -228.55 dB), so the asymptote measured against the default floor comes out as 0.0 dB/decade between 0.01 and 0.1 Hz — a clamp, correctly reported, that would look like a bug if the floor were not visible.
Returns a float64 array the same shape as *freqs*.
Raises ValueError: a non-1-D / non-finite / complex / masked freqs, an unknown kind.
• acoustic_condition_monitoring family guide
• Sample data catalog (DL URL / license) — 2-D के लिए skimage.data (BSD/public) + synthetic, 3-D के लिए real data sources (Stanford/PDS आदि) के DL URL।
• Operators का स्रोत और संदर्भ — इस op family के मूल research/methods के स्रोत।
• Algorithm का मानक स्रोत (लेखक, वर्ष) और उपयोग ऊपर की family usage guide में दिए गए हैं।
• acoustic_condition_monitoring — py -3.11 examples/acoustic_condition_monitoring.py
signal को input के रूप में लेते हैं)stft · envelope_spectrum · spectral_kurtosis · cepstrum · angular_resample · order_spectrum · octave_spectrum · apply_weighting
level)octave_bands · octave_spectrum · apply_weighting · equivalent_level · percentile_level
*Provenance: acoustics.py — ACOUSTICS operator registry. यह per-op note tools/opdocs.py md से अपने-आप generate होता है (हाथ से edit न करें)।*
© 2026 Kazufumi Furuse — Fullseye operator documentation. Licensed under Apache-2.0.