Filter_Design

pHASE LOCKED LOOPS GENERATED IN MATLAB

说明：  利用Pq分解法求电力系统潮流计算的源代码，提供学习者参考哈，不过还是要自己编才清楚些哈(Pq decomposition method using power flow calculation of the source code to provide learners Reference Kazakhstan, but still have to own it more clearly and Kazakhstan)

说明：  802.11b中CCK11M,CCK5.5M的实现程序，解调用的是FWT算法。(Implementation of 802.11b in the CCK11M program solution is called FWT algorithm.)

matlab程序，关于一个kalman滤波的。(matlab proagram,which is about Kalman fliter)

s函数 关于变速恒频双馈风力发电系统建模与仿真 其中双馈电机的s函数(S function about wind power )

常用图像处理程序集(Matlab入门级)(commonly used image processing procedures set (Matlab entry-level))

针对电力系统负荷预测问题，建立了基于Elman神经网络的负荷预测。提供了源数据，保证了程序的正常运行，预测效果不错。(According to the forecasting of power load, the load forecasting model based on Elman neural network is builded. The original data is provided, which will guaranteed the running of program with better effect.)

MIT--航空航天工程中的计算方法_有限元方法实例——涡轮叶片传热 MIT公开课程--航空航天工程中的计算方法 这门课程适用于在航空和航天工程中出现的计算方法的入门学习。其应用是从航空宇宙结构，空气动力学，动力学和控制，和航空宇宙系统选出的。其技术包括：常微分方程系统的数值积分；偏微分方程式的有限差分,有限体积, 和有限元的离散化；数值线性代数；本征值问题和带有约束的最优化。 (MIT- Aerospace Engineering in the finite element method calculation _ instance- turbine blade heat transfer MIT Open Course- Aerospace engineering calculation methods for this course in aviation and aerospace engineering in the calculation of the entry appears to learn. The application is from aerospace structures, aerodynamics, dynamics and control, and aerospace systems selected. The technologies include: numerical integration of ordinary differential equations systems partial differential equations of finite difference, finite volume, and finite element discretization numerical linear algebra eigenvalue problems with constraints and optimization.)

该内容为fisherface的matlab代码，绝对可以运行，实验的数据库为ORL人脸数据库，并且在代码中很多中文注释，便于理解，为了大家方便，在压缩包中还放了fisherface的原始原始论文和PCA算法的原始论文。希望这些资料对大家有所帮助。(Fisherface matlab)

用粒子群求解最优化问题的一个粒子，并画出迭代次数与最优解的关系(For solving optimization problems with particle swarm particle, and draw a relationship between the number of iterations and the optimal solution)