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Blind_recognition_STBC
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.
- 2010-06-20 19:58:15下载
- 积分:1
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hough
hough变换识别直线,识别圆,提取圆心半径(hough transform line identification, identification circle, the radius of the center extraction)
- 2011-01-07 21:23:40下载
- 积分:1
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shijanxulie
matlab实现时间序列分析,供初学者学习(Time series analysis matlab realize, for beginners to learn)
- 2013-09-09 17:02:42下载
- 积分:1
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mimomomxing
MIMO(多输入多输出)信道模型建matlab环境,瑞利信道下mimo无线通信系统的仿真模及仿真(MIMO (Multiple Input Multiple Output) channel model matlab built environment, Rayleigh fading MIMO wireless communication system simulation mode and simulation)
- 2007-12-17 08:51:56下载
- 积分:1
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matrix-wave
说明: 用矩阵实现而微小波变换,解决途中处理中而微信息量过大的问题(Realization with small wave transformation matrix to address the way in which micro-processing problem of information overload)
- 2011-03-11 21:46:14下载
- 积分:1
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libsvm
说明: 支持向量机(SVM)matlab 代码,附有详细的使用说明及举例讲解。 (This tool provides a simple interface to LIBSVM, a library for support vector
machines.)
- 2010-04-21 21:30:20下载
- 积分:1
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project_soft
说明: 使用卷积编码的通信系统中使用软判决信号检测的simulink(The use of convolutional coding in communication systems using soft decision signal detection simulink)
- 2009-09-03 21:15:27下载
- 积分:1
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111-114
数学建模第十三讲,关于matlab的的一个代码(Mathematical modeling the newsboy model courseware, the code)
- 2012-10-14 16:02:23下载
- 积分:1
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car_pole_system_upload_ver
Reinforcement Learning 中以 Q learning 學習的倒單擺實驗。以x,x_dot,theta,theta_dot作為狀態參數 state,利用model模擬之結果做Q值更新,產生Q table,對學習平衡控制。結果以csv檔作為輸出,可以由使用者作圖觀察變化。(Reinforcement Learning , utilize Q learning for An inverted pendulum system control。x,x_dot,theta,theta_dot as state variable,use model result renew Q table,control learning of balance pole 。output csv file contain trail(times),balance time(sec).it s better observe the change if user plot it. )
- 2014-01-23 23:58:05下载
- 积分:1
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Matlab_Codes
Digital Control Systems, Troy Nagle, Matlab Codes
- 2010-09-05 08:09:56下载
- 积分:1