level op• 数据种类:signal → table
• 调用: import fullseye as fs; fs.ledger.percentile_level(x, rate, percentiles=(10.0, 50.0, 90.0), weighting='A', ref=1.0, window_s=0.125, floor_db=-200.0)(要直接调用实现,import acoustics; acoustics.percentile_level(x, rate, percentiles=(10.0, 50.0, 90.0), weighting='A', ref=1.0, window_s=0.125, floor_db=-200.0);从台账取用则 opsacoustics.get("percentile_level"))
统计级:L_N 是有 N % 的时间被超过的级。
> 以下的详细说明为原文 —— 摘要与标题已翻译。
The record is cut into non-overlapping blocks of window_s seconds, each block's equivalent level is computed, and L_N is the (100-N)-th percentile of those levels. Non-overlapping rectangular blocks are used rather than an exponential time weighting because the block length is then exactly what the caller asked for and the statistic is exactly a percentile of the returned levels array — an exponential average would make the effective averaging time a function of the signal.
Returns a dict with one key per requested percentile ("L10", "L50", "L90", formatted with %g), plus levels (the per-block levels), times (block start times, s), n_blocks, block_samples, leq (the energy-equivalent level of the whole record), ref, weighting.
Note that L50 is the *median* level and leq is the *energy* level; they are different numbers whenever the signal is not stationary, and the gap between them is itself the usual measure of how fluctuating a record is.
Measured on a two-level test signal (1 s at 16 kHz, first half a 1 kHz sine of amplitude 1.0, second half the same at 0.1, Z-weighted, 0.125 s blocks, 8 blocks): L10 = -3.010300 and L90 = -23.010300 dB — exactly the two constituent levels, 20.000000 dB apart, as they must be for a 50/50 split. L50 = -13.010300 is the interpolated midpoint of the two clusters and leq = -5.977386, which is 17 dB above L90: the energy level sits near the loud half while the median sits between them. On a constant-amplitude signal all three percentiles and leq agree to 3.6e-15 dB.
Raises ValueError: everything _as_signal refuses, a percentile outside [0, 100], a non-positive window_s, a window_s longer than the record (which would give one block and make every percentile the same number while still looking like a statistic), ref <= 0.
• acoustic_condition_monitoring 族使用指南
• 示例数据目录(下载 URL / 许可证) —— 2-D 用 skimage.data(BSD/公有领域)加合成图,3-D 给出真实数据源(Stanford/PDS 等)的下载 URL。
• 算子来历与参考文献 —— 该算子族所依据的研究/方法出处。
• 算法的正典(作者、年份)与用途见上面的族使用指南。
• acoustic_condition_monitoring — py -3.11 examples/acoustic_condition_monitoring.py
table 作为输入)level)octave_bands · octave_spectrum · weighting_response · apply_weighting · equivalent_level
*Provenance: acoustics.py — ACOUSTICS 算子登记表。本条目由 tools/opdocs.py md 自动生成(请勿手工编辑)。*
© 2026 Kazufumi Furuse — Fullseye operator documentation. Licensed under Apache-2.0.