tb_fmcw_range_profile — 2D typed op

• Data kinds: beatcube → signal

• Call: fullseye.apply(img, "tb_fmcw_range_profile", a=0.5, b=0.5) (the 2-D model is one image plus two scalar knobs a,b∈[0,1])

Usage

Range-only profile: the fast-time FFT magnitude, averaged over the rest.

The 1-D marginal of :func:range_doppler_map — what a static scene needs,

and what a single chirp can give. Magnitudes are averaged (never the complex

values) over chirps and antennas, so the average is independent of the

target's velocity and angle: `|FFT|` does not rotate with the Doppler

phase, only the phase does.

Bin `j is j * c*f_s/(2*S*N_s) metres. With normalize=True` a

bin-centred target of amplitude `a peaks at exactly a`.

*chirp* / *antenna* select one slice instead of averaging. Returns a 1-D

float64 array of length `n_samples — a plain signal, so :mod:dsp` and

:mod:funct1d (`find_peaks, smooth_funct_1d_gauss, spectrum`)

apply to it directly.

Raises `ValueError: as :func:range_doppler_map`, plus an

out-of-bounds *chirp* index.

Typed bridge of the rangedoppler op `fmcw_range_profile into the 2-D evolution registry: the same implementation, called under the op(v, a, b) convention. This op has no tunable parameter; a and b` are unused.

References (sample data, literature)

• 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.

Runnable examples (verified samples that actually call this op)

• (none yet)

Ops the type connects to (they accept signal as input)

identity · tb_create_funct_1d_array · tb_smooth_funct_1d_gauss · tb_smooth_funct_1d_mean · tb_derivate_funct_1d · tb_integrate_funct_1d · tb_zero_crossings_funct_1d · tb_abs_funct_1d

Same category (typed)

tb_points_to_voxel · tb_estimate_point_normals · tb_iss_keypoints · tb_angle_3points · tb_project_points · tb_render_point_depth · tb_statistical_outlier_removal · tb_radius_outlier_removal

*Provenance: ops.py — 2D 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.