The paper can be found at: Daniel J. Katz, Courtney M. van der Linden, Peak Sidelobe Level and Peak Crosscorrelation of Golay-Rudin-Shapiro Sequences, IEEE Transactions on Information Theory, 68 (5): 3455–3473 (2022).
A preprint version is available at: arXiv: 2108.07318 [cs.IT]
The work of Katz and van der Linden and the accompanying materials here was supported in part by the National Science Foundation under Grants DMS-1500856 and CCF-1815487.
Any opinions, findings, and conclusions or recommendations expressed in this material are those of the authors and do not necessarily reflect the views of the National Science Foundation.
If you are interested in using any code or data presented here for your research, please contact me at email: [my first name] [dot] [my last name] [at] csun [dot] edu
A detailed description of the data files and the programs used to obtain them can be found in the readme.txt instructions. There are two programs, which can be found in the program directory. The first program, called pcc, was used to compute the peak crosscorrelations and peak sidelobe levels for Rudin-Shapiro sequences that are reported in Tables 3 and 4 of the paper. The executable linked here was compiled for the AMD64 architecture under GNU/Linux. Its output, the file pccs-to-50.txt contains the output data from running pcc, and can be found in the data directory. The second program, called verifications.ipynb, is a Jupyter notebook containing Sage code that verifies various claims made throughout the paper, and is also found in the program directory.