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'Chaotic micro-comb based parallel ranging' dataset and code

<p>Available data and code for manuscript: &quot;Chaotic micro-comb based parallel ranging&quot;</p> <p>Arxiv version:&nbsp;https://arxiv.org/abs/2112.10241</p> <p>Execution tested with&nbsp;Matlab 2020b&nbsp;or newer on Windows. Unzip folder to access files.</p> <p>Matlab figures are stored in matlab_figures folder.</p> <p>Raw data are stored in raw_data folder.</p> <p>To obtain plots from figure 2 (arXiv manuscript) execute Hilbert_freq_noise_analysis.m file.</p> <p>To process raw dat for figures 3,4 utilize sequential_analysis.m script.</p> <p>To plot point clouds of the processed data (\raw_data\fig3\analyzed_data) utilize plot_point_cloud_rmcw.m script. Comment/uncomment to change parameters for velocity/distance measurements (chess/wheel).</p> <p><br> Contact anton.lukashchuk@epfl.ch&nbsp;if problems with matlab code arise.&nbsp;<br> All matlab code remains under copyright by the authors: Anton Lukashchuk, Johann Riemensberger.&nbsp;The code&nbsp;is provided solely to be used to reproduce the figures of the aforementioned paper.</p>

ShareScore

36/100

Overall dataset sharing score

Score breakdown

These five areas show where the dataset supports — or may limit — practical reuse.

Stewardship
8
Harmonization
4
Access
16
Reuse readiness
8
Engagement
0

Topics

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