(November 2014)
Hao Fang, Sergiy A. Vorobyov, and Hai Jiang
License and Referencing
This code package is licensed under the GPLv2 license.
If you in any way use this code for research that results in publications,
please cite our original article H. Fang, S.A. Vorobyov, and
H. Jiang, "Performance limits of
segmented compressive sampling: Correlated samples versus bits," IEEE
Trans. Signal Processing, vol. 63, no. 22, pp. 6061–6073, Nov. 2015.
These Python codes can generate simulation results for
Figure 9 in the paper: H. Fang,
S.A.
Vorobyov, and H. Jiang, "Performance limits of
segmented compressive sampling: Correlated samples versus bits," IEEE
Trans. Signal Processing, vol. 63, no. 22, pp. 6061–6073, Nov. 2015.
The package contains a simulation environment, based
on Matlab, that reproduces all the numerical results and figures in the
article. We encourage you to also perform reproducible research!
Please report any bugs to Sergiy A. Vorobyov <svor@ieee.org>.
CScorrelated.rar
Use:
./simulation_1.py: simulation codes for \alpha = 0.
./simulation_2.py: simulation codes for \alpha = 1.
./simulation_3.py: simulation codes for \alpha = 5.
All other figures in the paper are simply computing the lower bound derived
there.