cost207

这是几个粒子群算法的经典例子，思路清晰，编程易懂，注释也非常详细。这里主要是介绍matlab中的粒子群工具箱。(This is a classic example of the particle swarm optimization, clear, easy to understand programming ideas, comments, very detailed. Here mainly to the introduction matlab Particle Swarm toolbox.)

S变换的小程序包，简单实用，特别适合初学者，一看程序描述就懂。(A quite easy S tranform matlab code. And it is easy to learn it.)

这是关于永磁同步电机的硕士论文，观点很新，而且对于这方面的理解有很大的帮助的.(This is a permanent magnet synchronous motor on the master' s thesis.ideas are new, but also for the understanding of this great help.)

Code for kalman filter, i think it will help you.thanks

状态估计算法 MATLAB 内附readme 详细说明了使用方法和步骤 有专门的txt文件 可以输入自己的bus阵 line阵等 即可进行状态估计(State estimation algorithm MATLAB included readme Describe the use of methods and steps specialized txt file can input their own the bus array line array can be estimated state)

基于粒子群算法的mppt算法，PSO算法，MPPT最大功率点跟踪(MPPT algorithm based on particle swarm optimization)

A fractional Fourier transform (FrFT) based estimation method is introduced in this paper to analyze the long range dependence (LRD) in time series. The degree of LRD can be characterized by the Hurst parameter. The FrFTbased estimation of Hurst parameter proposed in this paper can be implemented efficiently allowing very large data set. We used fractional Gaussian noises (FGN) which typically possesses long-range dependence with known Hurst parameters to test the accuracy of the proposed Hurst parameter estimator. For justifying the advantage of the proposed estimator, some other existing Hurst parameter estimation methods, such as wavelet-based method and a global estimator based on dispersional analysis, are compared. The proposed estimator can process the very long experimental time

2-fsk调制解调，采用相干解调，画出调制前调制后，加噪声，解调的函数图(modulated and demodulated by 2-fsk)

灰色模型在很多行业领域内得到广泛的应用，程序采用MATLAB编程，可实现GM(1,1)预测(Gray model has been widely used in many industries, the program using MATLAB programming, GM (1,1) prediction)

用matlab语言实现无线传感器网络LEACH算法，和其改进算法。并比较改进算法的优点。(Matlab language implementation wireless sensor network LEACH algorithm, and the improved algorithm and compare the advantages of the improved algorithm)