Blind recognition of space time codes
The zip file contains several matlab files. These files implement the optimal vlassifier (optimal_classifier.m), a sub-optimal classifier (SOS_STBC_Classifier.m) which is based on Second Order Statistic and a low-complexity sub optimal code-parameter classifier (CP_Classifier.m). See reference [1] for the theoretical background.
Example: To create the fig 3,4 and 5 of the paper, call the routine:
Blind_recognition_STBC2_simulation_results(512,4,'PSK',4)
Reference:
[1] V. Choqueuse, M. Marazin, L. Collin, K. Yao and G. Burel "Blind recognition of STBC: A Likelihood-based Approach", IEEE Transactions on Signal Processing (IF: 2.33), vol. 58(3), pp : 1290-1299, March 2010.
Cite As
Choqueuse Vincent (2024). Blind recognition of space time codes (https://www.mathworks.com/matlabcentral/fileexchange/26712-blind-recognition-of-space-time-codes), MATLAB Central File Exchange. Retrieved .
MATLAB Release Compatibility
Platform Compatibility
Windows macOS LinuxCategories
- AI and Statistics > Deep Learning Toolbox > Image Data Workflows > Pattern Recognition and Classification >
Tags
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!Discover Live Editor
Create scripts with code, output, and formatted text in a single executable document.
Version | Published | Release Notes | |
---|---|---|---|
1.0.0.0 |