MODEL-INDUCTION-MOTOR

关于Kalman滤波的matlab程序，可以下载学习下，共同交流(On the Kalman filter matlab program)

计算电磁学，本程序用于磁场积分方程求解圆柱散射(Magnetic field integral equation (MFIE) for 2-D cylinder scattering.)

说明：  个人做的AM调制数字解调simulink仿真模块，大家多交流(The AM modulation personal digital demodulation simulink simulation module, we more exchanges)

学习卡尔曼滤波器的好程序，卡尔曼滤波的程序，对于初学者而言十分经典(A good learning process Kalman filter, Kalman filtering procedure, in terms of a very classic for beginners)

PSO算法具有快速收敛而且有很强的跳出局部最优从而找到全局最优点的能力，故可以用它来训练优化神经网络，此程序主要研究这个方面。(PSO algorithm is fast and has a strong convergence of jumping out of the local optimal thus find the most advantages of the overall capacity, it can be used to train the neural network optimization, this procedure major study this aspect.)

matlab mex code for lattice prediction

利用matlab编写的桁架结构模态振型计算，运行之后出现各阶振型动画。 (Prepared using matlab truss calculation of vibration mode, run the first vibration mode appears after the animation.)

无香粒子滤波的一个matlab例程，其中有ekf,ukf,pf,upf(In these demos, we demonstrate the use of the extended Kalman filter (EKF), unscented Kalman filter (UKF), standard particle filter (a.k.a. condensation, survival of the fittest, bootstrap filter, SIR, sequential Monte Carlo, etc.), particle filter with MCMC steps, particle filter with EKF proposal and unscented particle filter (particle filter with UKF proposal) on a simple state estimation problem and on a financial time series forecasting problem. The algorithms are coded in a way that makes it trivial to apply them to other problems. Several generic routines for resampling are provided. The derivation and details are presented in: Rudolph van der Merwe, Arnaud Doucet, Nando de Freitas and Eric Wan. The Unscented Particle Filter. Technical report CUED/F-INFENG/TR 380, Cambridge University Department of Engineering, May 2000. After downloading the file, type "tar-xf upf_demos.tar" to uncompress it. This creates the directory webalgorithm containing the required m files. Go to this di)

用MIH的心电数据，并用MATLAB读取出来，呈现曲线(With MIH ECG data, and read out using MATLAB, showing curves)

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