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This project is used to host the code that reproduces [this academic paper](https://ieeexplore.ieee.org/document/9497742) This project is used to host the code that reproduces academic papers.
Enviornment: Enviornment:
- [MATLAB 2023a](https://ww2.mathworks.cn/products.html?s_tid=gn_ps) - [MATLAB R2023a](https://ww2.mathworks.cn/products.html?s_tid=gn_ps)
- [CVX: a Matlab-based convex modeling framework](http://cvxr.com/) - [CVX: a Matlab-based convex modeling framework](http://cvxr.com/)
- [Parallel Computing Toolbox](https://ww2.mathworks.cn/products/parallel-computing.html) - [Parallel Computing Toolbox](https://ww2.mathworks.cn/products/parallel-computing.html)
Codes: Papers:
- `can_recovery.m`: Determine if the signal can be recovered. - [Analysis of Frequency Agile Radar via Compressed Sensing](https://doi.org/10.1109/TSP.2018.2876301)
- `get_recovery_prob.m`: Obtain the probability that the signal can be recovered under T experiments. - [Macroscopic Analysis of Vector Approximate Message Passing in a Model-Mismatched Setting](https://doi.org/10.1109/ISIT44484.2020.9173999)
- `main.m`: Main function entry. - [Phase Transitions in Frequency Agile Radar Using Compressed Sensing](https://doi.org/10.1109/TSP.2021.3099629)
Tips:
CVX is not support in MATLAB R2023b