powerlaws_full_v0.0.10-2012-01-17

spatial multiplexing in MIMo matlab code

图论工具箱，包括图论的相关操作，求最短路径，搜索，匹配，最大流，核数等(matlab graph toolbox)

predictor linela para prosesamiento digital de señ ales en matlab con el algoritmo de durbin

Power system stabilizers (PSS) are now routinely used in the industry to damp out power system oscillations. In this paper, real-coded genetic algorithm (RCGA) optimization technique is applied to design robust power system stabilizer for both singlemachine infinite-bus (SMIB) and multi-machine power system. The design problem of the proposed controller is formulated as an optimization problem and RCGA is employed to search for optimal controller parameters. By minimizing the time-domain based objective function, in which the deviation in the oscillatory rotor speed of the generator is involved stability performance of the system is improved. The non-linear simulation results are presented under wide range of operating conditions disturbances at different locations as well as for various fault clearing sequences to show the effectiveness and robustness of the proposed controller and their ability to provide efficient damping of low frequency oscillations.

SEPIC converter in MATLAB

混沌跳转系统，可以直接运行出结果，希望有用。(Jump chaotic systems, the results can be directly run, I hope useful.)

永磁电机双闭环调速，转速外环，电流内环，最后转速平稳(Double-loop speed permanent magnet motor, speed outer, inner current loop, the last speed steady)

可以学习使用大量的matlab程序，帮助初学者解决问题(You can learn to use a lot of MATLAB programs)

AdaBoost, Adaptive Boosting, is a well-known meta machine learning algorithm that was proposed by Yoav Freund and Robert Schapire. In this project there two main files 1. ADABOOST_tr.m 2. ADABOOST_te.m to traing and test a user-coded learning (classification) algorithm with AdaBoost. A demo file (demo.m) is provided that demonstrates how these two files can be used with a classifier (basic threshold classifier) for two class classification problem.(AdaBoost, Adaptive Boosting, is a well-known meta machine learning algorithm that was proposed by Yoav Freund and Robert Schapire. In this project there two main files 1. ADABOOST_tr.m 2. ADABOOST_te.m to traing and test a user-coded learning (classification) algorithm with AdaBoost. A demo file (demo.m) is provided that demonstrates how these two files can be used with a classifier (basic threshold classifier) for two class classification problem.)

用来实现纠错码中的仿真程序。调试过，确实是可以用的。包括仿真模型。(error-correcting codes used to achieve the simulation program. Debugging off, it can indeed use. Including the simulation model.)