'Chaotic micro-comb based parallel ranging' dataset and code
<p>Available data and code for manuscript: "Chaotic micro-comb based parallel ranging"</p> <p>Arxiv version: https://arxiv.org/abs/2112.10241</p> <p>Execution tested with Matlab 2020b 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 if problems with matlab code arise. <br> All matlab code remains under copyright by the authors: Anton Lukashchuk, Johann Riemensberger. The code 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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