Two Matlab scripts are presented.

code1.m : This Matlab script solves the signal design problem (P2) as described in the paper: B. Dulek and S. Gezici, "Optimal Signal Design for Coherent Detection of Binary Signals in Gaussian Noise under Power and Secrecy Constraints". It relates to the simulation depicted in Section IV - Figure 1.

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[1] Sinan Gezici, "MATLAB code for "Optimal Signal Design for Coherent Detection of Binary Signals in Gaussian Noise under Power and Secrecy Constraints"", IEEE Dataport, 2022. [Online]. Available: http://dx.doi.org/10.21227/95rn-mz17. Accessed: Feb. 21, 2024.
@data{95rn-mz17-22,
doi = {10.21227/95rn-mz17},
url = {http://dx.doi.org/10.21227/95rn-mz17},
author = {Sinan Gezici },
publisher = {IEEE Dataport},
title = {MATLAB code for "Optimal Signal Design for Coherent Detection of Binary Signals in Gaussian Noise under Power and Secrecy Constraints"},
year = {2022} }
TY - DATA
T1 - MATLAB code for "Optimal Signal Design for Coherent Detection of Binary Signals in Gaussian Noise under Power and Secrecy Constraints"
AU - Sinan Gezici
PY - 2022
PB - IEEE Dataport
UR - 10.21227/95rn-mz17
ER -
Sinan Gezici. (2022). MATLAB code for "Optimal Signal Design for Coherent Detection of Binary Signals in Gaussian Noise under Power and Secrecy Constraints". IEEE Dataport. http://dx.doi.org/10.21227/95rn-mz17
Sinan Gezici, 2022. MATLAB code for "Optimal Signal Design for Coherent Detection of Binary Signals in Gaussian Noise under Power and Secrecy Constraints". Available at: http://dx.doi.org/10.21227/95rn-mz17.
Sinan Gezici. (2022). "MATLAB code for "Optimal Signal Design for Coherent Detection of Binary Signals in Gaussian Noise under Power and Secrecy Constraints"." Web.
1. Sinan Gezici. MATLAB code for "Optimal Signal Design for Coherent Detection of Binary Signals in Gaussian Noise under Power and Secrecy Constraints" [Internet]. IEEE Dataport; 2022. Available from : http://dx.doi.org/10.21227/95rn-mz17
Sinan Gezici. "MATLAB code for "Optimal Signal Design for Coherent Detection of Binary Signals in Gaussian Noise under Power and Secrecy Constraints"." doi: 10.21227/95rn-mz17