(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.