level op• 데이터 종류: signal → signal
• 호출: import acoustics; acoustics.weighting_response(freqs, kind='A', floor_db=-200.0)(또는 opsacoustics.get("weighting_response"))
주어진 주파수에서의 A / C / Z 주파수 가중 곡선 [dB].
> 아래 상세 설명은 원문입니다 —— 요약과 제목은 번역되어 있습니다.
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 패밀리 가이드
• 샘플 데이터 카탈로그(DL URL / 라이선스) —— 2-D 는 skimage.data(BSD/public)+ 합성, 3-D 는 실데이터 소스(Stanford/PDS 등)의 DL URL.
• 연산자의 내력·참고문헌 —— 이 연산자 족의 바탕이 된 연구/기법의 출처.
• 알고리즘의 정전(저자·연도)과 용도는 위의 패밀리 사용 가이드에 적혀 있습니다.
• acoustic_condition_monitoring — py -3.11 examples/acoustic_condition_monitoring.py
signal 를 입력으로 받는 것)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 연산자 레지스트리. 이 op 노트는 tools/opdocs.py md 가 자동 생성합니다(직접 편집하지 마세요).*
© 2026 Kazufumi Furuse — Fullseye operator documentation. Licensed under Apache-2.0.