Hi!
I have made this with AI assistance,- because I have a condition that unfortunately makes it impossible for me to code anything the traditional way. Its based on
Shakeel, I.; Hilliard, J.; Zhang, W.; Rice, M. Gaussian-Distributed Spread-Spectrum for Covert Communications. Sensors 2023, 23(8), 4081. https://doi.org/10.3390/s23084081
I hope that someone is willing to do a review of the code and methodologies. There is a code map and test results in the github repo.
If anyone is interested,- here is my suggested method. First, read the test results and relevant code functions. If they make sense, fork the project and edit the relevant section in the readme. Add a review.md file to the repo, add your gnupg signature as a proof of authenticity. The file would of course contain your review and date,year. Then create a PR against the original repository. Note that the original repo has both a gnuradio 3.x and a gnuradio 4.x branch.
The repo is here:
https://github.com/Supermagnum/GR-K-GDSS
Hi!
I have made this with AI assistance,- because I have a condition that unfortunately makes it impossible for me to code anything the traditional way. Its based on
Shakeel, I.; Hilliard, J.; Zhang, W.; Rice, M. Gaussian-Distributed Spread-Spectrum for Covert Communications. Sensors 2023, 23(8), 4081. https://doi.org/10.3390/s23084081
I hope that someone is willing to do a review of the code and methodologies. There is a code map and test results in the github repo.
If anyone is interested,- here is my suggested method. First, read the test results and relevant code functions. If they make sense, fork the project and edit the relevant section in the readme. Add a review.md file to the repo, add your gnupg signature as a proof of authenticity. The file would of course contain your review and date,year. Then create a PR against the original repository. Note that the original repo has both a gnuradio 3.x and a gnuradio 4.x branch.
The repo is here:
https://github.com/Supermagnum/GR-K-GDSS