eg14-zhishupince

雷达MATLAB仿真,有很多防真实例,对雷达方面的学习很有帮助.(MATLAB simulation of the radar, there are many anti-real cases, learning on the radar very helpful.)

SVPWM算法MATLAB仿真，采用S函数实现(SVPWM algorithm MATLAB simulation, using the S-function realization)

核极限学习机，引入核函数解决ELM求解问题，一旦参数选定，结果就稳定下来，不再混入随机。在原来版本上加入自己理解改写，使得代码更容易理解。(Kernel extreme learning machine, kernel function is applied to deal with ELM to solve the problem, once the parameters selected, the result is stabilized, not randomly in the original version on becoming a member of their understanding, makes the code easier to understand)

GB2312简体中文编码表,Ctrl + f +待查的中文(Simplified Chinese GB2312 encoding table, Ctrl+ f+ of unknown origin in Chinese)

利用LMS算法仿真了各种线性预测滤波器,并证明的该算法效率很高,能节省硬件资源.(LMS algorithm simulation using a variety of linear predictive filter, and demonstrate the high efficiency of the algorithm. can save hardware resources.)

matlab教学用书 Edward Neuman 版本(matlab version of teaching the book Edward Neuman)

Binary optimaization algorithm

感知机算法(内含测试数据tic-tac-toe(三连棋游戏))(Perceptron algorithm (containing test data tic-tac-toe (three with chess games)))

BPSK和PM在matlab环境下进行的波形的仿真对比(BPSK simulation comparison and PM)

It is demonstrated that neural networks can be used effectively for the identification and control of nonlinear dynamical systems. The emphasis is on models for both identification and control. Static and dynamic backpropagation methods for the adjustment of parameters are discussed. In the models that are introduced, multilayer and recurrent networks are interconnected in novel configurations, and hence there is a real need to study them in a unified fashion. Simulation results reveal that the identification and adaptive control schemes suggested are practically feasible. Basic concepts and definitions are introduced throughout, and theoretical questions that have to be addressed are also described