lpf

conventional simulink statcom

1. MATLAB常用数学建模工具的中文帮助 2. 贡献MATLAB数学建模工具(打*号) 3. 中国大学生数学建模竞赛历年试题MATLAB程序(1. MATLAB mathematical modeling tools commonly used in Chinese to help 2. Contributions to MATLAB mathematical modeling tool (hit*) 3. China Undergraduate Mathematical Contest in Modeling questions MATLAB program calendar)

异步电机仿真，查看电机性能的matlab仿真程序，希望对大家有所帮助(Induction motor simulation, see the electrical properties of matlab simulation program, I hope all of you to help)

主程序为Percus Yevick分布函数和球形粒子媒质的结构因子的计算( Main program for the calculation of Percus Yevick pair distribution function and structure factor for a medium with spherical particles )

C-CMethod.m C-C法主函数，调用方式见函数体 correlation_integral.m 关联积分求解（被C-C法主函数调用） disjoint.m 将时间序列分为t个不相交的向量 heaviside.m 判断函数>0为1，<0为0 reconstitution.m 相空间重构函数 lorenz_phase.m 实验函数，用lorenz系统测试C-C法 lorenz_sim.mdl 用simulink建立的lorenz系统(C-CMethod.m CC method main function, see the body of the function invocation correlation_integral.m correlation integral solution (CC method is the primary function call) disjoint.m time series is divided into t disjoint vector heaviside.m determine the function> 0 1, < 0 0 reconstitution.m experimental phase space reconstruction function lorenz_phase.m function lorenz system test with CC method lorenz_sim.mdl established lorenz system with simulink)

Harris corner detection MATLAB CODE

Bifurcation Diagram of logistic map

LMS算法是研究最早的自适应算法，简单实用是其最主要的特点。但是仅进行一次求自适应权，还不够准确，本算法中将多次求权平均的结果与单次求的结果进行了比较！(LMS algorithm is the first study of the adaptive algorithm, meanwhile, simple and practical is its main feature. But if only seek adaptive right once,this is not accurate enough,so my algorithm take a comparison between the results of the weighted average and the results with a single seeking!)

说明：  语音识别全过程的matlab程序，运行测试能出结果，希望对你们有用，实在没点数才把自己压箱底的东西拿出来,呜呜(The whole process of speech recognition matlab program, run the test to the result, I hope helpful for you, only then it did not point out what their own bottom pressure, the hum)

灰色系统GM（1，1）模型的源代码，实现在数据不充分的情况下对未来的预测。(Gray system GM (1,1) model of the source code, data is not sufficient to achieve in the case of predictions for the future.)