Matlab

基于MATLAB/simulink的永磁同步电机仿真模型.空间失量磁场定向算法222(Based on MATLAB/simulink simulation model of permanent magnet synchronous motor. Spatial loss field oriented algorithms 222)

this code is mainly used in filter design.

一个关于Matlab的神经网络识别字符的小程序，挺好玩的(One on Matlab neural network character recognition applet, really fun)

说明：  产生m序列 画出其自相关函数和功率谱密度曲线 利用m序列模二产生gold序列 计算gold序列的互相关函数(Generating M-series Draw the autocorrelation function and power spectral density curve Generating gold sequence by m-sequence module two Calculating the cross correlation function of gold sequence)

先进PID的源码 先进PID的源码 (The source of advanced PID advanced PID source)

Programming Manual for MATLAB

一个使用matlab语言编写的粒子群算例，对初学者很有用(a example of particle swarm optimization)

palmer s method gor calculatin near surfave velocity by "generalized reciprocal method"

matlab robot 插件matlab robot 插件matlab robot 插件matlab robot 插件matlab robot 插件matlab robot 插件

给定观测序列 O=O1O2O3…Ot和模型参数λ=(A,B,π)，怎样有效计算某一观测序列的概率，进而可对该HMM做出相关评估。例如，已有一些模型参数各异的HMM，给定观测序列O=O1O2O3…Ot，我们想知道哪个HMM模型最可能生成该观测序列。通常我们利用forward算法分别计算每个HMM产生给定观测序列O的概率，然后从中选出最优的HMM模型。(Given the observation sequence O = O1O2O3 ... Ot and model parameters λ = (A, B, π), how to effectively calculate the probability that a single observation sequence, and thus can make the relevant assessment of the HMM. For example, there are a number of different model parameters HMM, given the observation sequence O = O1O2O3 ... Ot, we want to know which model is most likely to generate the HMM observation sequence. Usually we use forward algorithm calculates the probability of a given observation sequence O generated for each HMM, HMM and then to choose the best model.)