HilbertEnvelopeMethod

extreme learning machine 例子 run satimage_mean(extreme learning machine examples run satimage_mean)

Kalman filter for speed-sensorless DC motor drive

an algorithm for evaluating recognition rate

说明：  双PI闭环PWM整流器，可完美运行,网侧THD3.8%，直流侧电压启动超调量1%左右(Double PI closed-loop PWM rectifier, perfect operation, thd3.8% at grid side, 1% of DC side voltage start-up overshoot)

在matlab环境下使用，演化博弈数据仿真的方式验证了平衡点局部稳定性(Evolutionary Game with simulation )

信号处理中参数最大似然估计的仿真程序设计(Maximum likelihood parameter estimation simulation)

here data is given and estimate using ML estimation in pattern recognition

3种电机的s函数的封装，修改参数可实现电机模型的建立。(Three kinds of motor function s package, modify the parameters can be set up to achieve the electrical model.)

生成一个连通子图，适合图论学习，ACM竞赛以及网络学习(Generate a connected subgraph, graph theory is suitable to study, ACM contests, as well as e-learning)

阵列信号处理，自适应波束形成，Capon算法(array signal processing，adaptive beam forming，Capon)