function op• Data kinds: signal → signal
• Call: import fullseye as fs; fs.ledger.smooth_funct_1d_mean(y, size=3, iterations=1) (to call the implementation directly, import funct1d; funct1d.smooth_funct_1d_mean(y, size=3, iterations=1); from the registry, 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`.
• Sample-data catalog (download URLs / licences) — 2-D uses skimage.data (BSD/public domain) plus synthetic images; 3-D lists download URLs for real data sources (Stanford, PDS, …).
• Operator provenance and references — the sources of the research/methods this op family came from.
• The canonical algorithm (author, year) and its uses are named in the family usage guide above.
• poc_weld_bead_profile — py -3.11 examples/poc_weld_bead_profile.py
• signal_funct1d — py -3.11 examples/signal_funct1d.py
signal as input)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. This per-op note is generated by tools/opdocs.py md (do not hand-edit).*
© 2026 Kazufumi Furuse — Fullseye operator documentation. Licensed under Apache-2.0.