smooth_funct_1d_mean — ONED function op

• データ種: signal → signal

• 呼び出し: import 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"))

使い方

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`.

参考(サンプルデータ・文献)

• サンプルデータ カタログ(DL URL / ライセンス) — 2-D は skimage.data(BSD/public)+ 合成、3-D は実データ源(Stanford/PDS 等)の DL URL。

• 演算子の来歴・参考文献 — この op 族の元になった研究/手法の出典。

• アルゴリズムの正典(著者・年)と用途は上記ファミリ使い方ガイドに記載。

実行できる例(この op を実際に呼ぶ検証済みサンプル)

• poc_weld_bead_profile — py -3.11 examples/poc_weld_bead_profile.py

• signal_funct1d — py -3.11 examples/signal_funct1d.py

型が繋がる次の op(signal 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

同カテゴリ(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.