function op• Data kinds: signal → signal
• Call: import fullseye as fs; fs.ledger.smooth_funct_1d_gauss(y, sigma: 'float' = 1.0) (to call the implementation directly, import funct1d; funct1d.smooth_funct_1d_gauss(y, sigma: 'float' = 1.0); from the registry, ops1d.get("smooth_funct_1d_gauss"))
Gaussian smoothing of a 1-D function (HALCON `smooth_funct_1d_gauss`).
Convolves *y* with a Gaussian of standard deviation *sigma* (in samples),
`reflect` boundary handling (scipy default). The DC level is preserved;
zero-mean noise variance shrinks by roughly `1 / (2 * sigma * sqrt(pi))`.
:param y: 1-D function, at least 1 sample.
:param sigma: Gaussian standard deviation in samples; must be finite and > 0.
:returns: smoothed float64 array, same length as *y*.
:raises ValueError: non-1-D / NaN / Inf input, empty input, or `sigma <= 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_fiber_orientation — py -3.11 examples/poc_fiber_orientation.py
• poc_tree_ring_dendro — py -3.11 examples/poc_tree_ring_dendro.py
• poc_web_roll_periodicity — py -3.11 examples/poc_web_roll_periodicity.py
• signal_funct1d — py -3.11 examples/signal_funct1d.py
signal as input)create_funct_1d_array · create_funct_1d_pairs · smooth_funct_1d_mean · 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_mean · 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.