function op• Datenarten: signal → signal
• Aufruf: import fullseye as fs; fs.ledger.smooth_funct_1d_mean(y, size=3, iterations=1) (die Implementierung direkt: import funct1d; funct1d.smooth_funct_1d_mean(y, size=3, iterations=1); aus dem Register: ops1d.get("smooth_funct_1d_mean"))
> Für diesen Operator gibt es noch keine Übersetzung. Es folgt der Originaltext unverändert.
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`.
• Katalog der Beispieldaten (Download-URLs / Lizenzen) — 2-D nutzt skimage.data (BSD/Public Domain) plus synthetische Bilder, 3-D nennt Download-URLs echter Datenquellen (Stanford, PDS, …).
• Herkunft und Literatur der Operatoren — die Quellen der Forschung/Verfahren, auf denen diese Operatorfamilie beruht.
• Der kanonische Algorithmus (Autor, Jahr) und seine Anwendungen stehen im Familienleitfaden oben.
• poc_weld_bead_profile — py -3.11 examples/poc_weld_bead_profile.py
• signal_funct1d — py -3.11 examples/signal_funct1d.py
signal als Eingabe)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. Diese Notiz wird von tools/opdocs.py md erzeugt (nicht von Hand bearbeiten).*
© 2026 Kazufumi Furuse — Fullseye operator documentation. Licensed under Apache-2.0.