k_mean

长周期光纤光栅传输谱的matlab仿真，对此方面内容作了详尽阐述-长周期光纤光栅传输谱的matlab仿真(Matlab simulation of long period fiber grating transmission spectrum in this area made elaborate- long-period fiber grating transmission spectrum matlab simulation)

粒子群算法是智能计算领域的主要方法之一，本程序为运用粒子群方法寻找最优值的例子。(The particle swarm algorithm is one of the main methods for intelligent computing, the procedures for the application of the particle swarm example to find the optimal value.)

对于灰色预测、时间序列预测、自回归模型的集中预测模型的MATLAB代码(For gray prediction, time series prediction, autoregressive model, the MATLAB code of the centralized prediction model.)

劳斯稳定性判据的matlab实现。直接运行M文件，按提示输入特征多项式参数，即可进行系统稳定性判别。(The Routh-Hurwitz stability criterion is a necessary (and frequently sufficient) method to establish the stability of a single-input, single-output (SISO), linear time invariant (LTI) control system. More generally, given a polynomial, some calculations using only the coefficients of that polynomial can lead us to the conclusion that it is not stable. in this program you must give your system coefficents and the Routh-Hurwitz table would be shown )

正交频分复用(OFDM)是第四代移动通信的核心技术,它是实现多媒体业务发展的基础.讨论了如何利用Simulink进行OFDM系统仿真,并给出了具体的仿真模型.利用仿真模型得到OFDM差错性能分析结果,通过对结果的分析,提出了改善性能的方法. (Orthogonal frequency division multiplexing (OFDM) is the core of the fourth generation mobile communication technology, it is the basis for the development of multimedia services. Discusses how to use Simulink for OFDM system simulation, and given the specific simulation model. Using the simulation model OFDM Error Performance Analysis of the results obtained through analysis of the results, proposed to improve performance.)

space vector modulation for three phase two level inverter

用蒙特卡洛方法计算圆周率的程序,可以精确到第四位小数(a mento karlo method compiled in matlab)

新手学习MATLAB画图很好的例子，程序直接复制到MATLAB中就可以运行。(MATLAB drawing newcomers to learn a good example, be copied directly into MATLAB programs can run.)

支持向量机在分类和回归中的应用（MATLAB）(Application for svm in classification and regression)

说明：  一阶无延时的MPC，基于MAC，预测控制(First-order delay-free MPC, predictive control based on MAC)