guass

说明：  由有经验的工程师编写,gps躁声信号的生成,很好的.(by experienced engineers prepared a GPS signal to the impatient generation, very good.)

matlab仿真微分方程，分别用欧拉法，改进欧拉法，龙格库塔法，四阶adams显式隐式算法对比精度。(matlab simulation of differential equations, respectively, with Euler, improved Euler method, Runge-Kutta method, fourth-order implicit algorithm adams explicit comparison accuracy.)

利用FDTD方法计算简单目标（如：方柱）的RCS，通过迭代求解，近远场外推，得到远区场的结果 (Using the FDTD method to calculate the RCS of simple objects(such as square column), through iterative solution, Near far field extrapolation to get the results of far field)

小世界网络，可以生成网络图，可以自己设置网络(The small-world network, can generate a network diagram, you can set up their own network)

关联向量机，很好的工具箱，有用于分类和回归的例子(Relevance vector machine, a good toolbox, there are examples for classification and regression)

JITTERBUG 是一个用来仿真线性控制系统的Matlab工具箱。通过JITTERBUG，我们能得到延时、数据丢失对系统的性能影响。同时，这个工具箱还能计算控制系统中信号的谱密度。(JITTERBUG [Lincoln and Cervin, 2002] is a MATLAB-based toolbox that allows the computation of a quadratic performance criterion for a linear control system under various timing conditions. Using the toolbox, one can easily and quickly assert how sensitive a control system is to delay, jitter, lost samples, etc., without resorting to simulation. The tool is quite general and can also be used to investigate jitter-compensating controllers, aperiodic controllers, and multi-rate controllers. As an additional feature, it is also possible to compute the spectral density of the signals in the control system. The main contribution of the toolbox, which is built on well-known theory (LQG theory and jump linear systems), is to make it easy to apply this type of stochastic analysis to a wide range of problems.)

变压变频调速 matlab simulink仿真(AC motor double closed loop speed control system MATLAB simulation)

hmm MATLAB工具箱，里面有自己写的一个DEMO可直接运行，方便大家理解，相互帮助啊(hmm MATLAB toolbox, which has to write a DEMO can be run directly, to facilitate understanding, mutual help ah)

说明：  is a small example of how to use a slider and observe and enter the current value in the slider

最基本的粒子群算法实现的数据聚类，超简单，觉得对初学者有用(The most basic particle swarm data clustering algorithm, super-simple, feel useful for beginners)