signal op• Data kinds: signal → signal
• Call: import fullseye as fs; fs.ledger.local_std(x, window=9) (implementation को सीधे call करना हो तो import dsp; dsp.local_std(x, window=9), registry से लेना हो तो ops1d.get("local_std"))
बताई गई error सीमा के साथ rolling standard deviation।
> नीचे का विस्तृत विवरण मूल text में है — सारांश और headings का अनुवाद हो चुका है।
The 1-D counterpart of the image operator local_std (HALCON's deviation_image): the variance is taken after subtracting the mean (E[x^2] - E[x]^2 loses its significant digits on a signal that sits far from zero), unbiased by n/(n-1), and the residual bias of the square root removed by c4(n), so the estimate of sigma itself is unbiased.
*window* is the number of samples in the sliding window, rounded up to the next odd number so the window can be centred (10 becomes 11). The error bound below is computed from the window actually used, so the number quoted stays true. The 2-D side does the same thing — _k(a) snaps the knob to 3/5/7/9 — and the typed bridge that exposes this op as tb_local_std scales the knob continuously, so an even value arrives whenever the knob lands between two odd ones. The relative standard error of each estimate is 1/sqrt(2(n-1)) — 35 % for a 5-sample window, 11 % for 41. Quote it next to any noise figure:
a rolling sigma over 9 samples is +- 25 %, which is wider than most of the changes people try to read off it.
Returns an array the same length as *x* (the ends are reflected).
• Sample data catalog (DL URL / license) — 2-D के लिए skimage.data (BSD/public) + synthetic, 3-D के लिए real data sources (Stanford/PDS आदि) के DL URL।
• Operators का स्रोत और संदर्भ — इस op family के मूल research/methods के स्रोत।
• Algorithm का मानक स्रोत (लेखक, वर्ष) और उपयोग ऊपर की family usage guide में दिए गए हैं।
• gallery2d_texture_freq — py -3.11 examples/gallery2d_texture_freq.py
signal को input के रूप में लेते हैं)create_funct_1d_array · create_funct_1d_pairs · smooth_funct_1d_gauss · smooth_funct_1d_mean · derivate_funct_1d · integrate_funct_1d · zero_crossings_funct_1d · local_min_max_funct_1d
signal)lowpass · highpass · bandpass · envelope · rms · quantize · companding_mu_law · resample
*Provenance: dsp.py — ONED operator registry. यह per-op note tools/opdocs.py md से अपने-आप generate होता है (हाथ से edit न करें)।*
© 2026 Kazufumi Furuse — Fullseye operator documentation. Licensed under Apache-2.0.