function opsignal → signalimport fullseye as fs; fs.ledger.smooth_funct_1d_mean(y, size=3, iterations=1) (実装を直接呼ぶなら import funct1d; funct1d.smooth_funct_1d_mean(y, size=3, iterations=1)、台帳から引くなら ops1d.get("smooth_funct_1d_mean"))Iterated moving-average smoothing (HALCON smooth_funct_1d_mean).
Applies a length-size uniform (box) filter iterations times with
nearest (edge-replicating) boundary handling. Repeated box filtering
approaches a Gaussian (central limit theorem).
:param y: 1-D function, at least 1 sample.
:param size: window length in samples; truncated to int, must be >= 1.
Even sizes are accepted but shift the window origin by half a sample
(scipy’s origin convention) — prefer odd sizes for a symmetric window.
:param iterations: number of passes; truncated to int, must be >= 0.
iterations=0 returns the (float64-coerced) input unchanged.
:returns: smoothed float64 array, same length as y.
:raises ValueError: non-1-D / NaN / Inf input, empty input, size < 1,
or iterations < 0.
py -3.11 examples/poc_weld_bead_profile.pypy -3.11 examples/signal_funct1d.pysignal を入力に取れる)create_funct_1d_array · create_funct_1d_pairs · smooth_funct_1d_gauss · derivate_funct_1d · integrate_funct_1d · zero_crossings_funct_1d · local_min_max_funct_1d · abs_funct_1d
function)create_funct_1d_array · create_funct_1d_pairs · smooth_funct_1d_gauss · derivate_funct_1d · integrate_funct_1d · zero_crossings_funct_1d · local_min_max_funct_1d · abs_funct_1d
Provenance: funct1d.py — ONED 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.