kalman3

由于libsvm的matlab版本的工具箱libsvm-mat并没有给出寻参的函数模块，而无论利用libsvm工具箱进行分类还是回归，参数的选取是十分重要的，鉴于此libsvm-mat-2.89-3[FarutoUltimate3.0]在 libsvm-mat-2.89-3的基础上给出相应的辅助函数插件，方便用户来选取最佳的参数，现对该工具箱里主要的辅助函数插件的接口进行介绍。(As the matlab version of the toolbox libsvm libsvm-mat and did not give to find a function module parameters, regardless of classification using libsvm toolbox or regression, parameter selection is very important, in view of the libsvm-mat-2.89-3 [ FarutoUltimate3.0] in libsvm-mat-2.89-3 is given on the basis of the corresponding auxiliary function plugin user to select the best parameters, the toolbox is the main interface to plug the auxiliary functions are introduced.)

Using the L system method of fractal to draw the tree and plants

数据包传送源码程序，连续相位调制信号(CPM)产生，是信号处理的基础，进行逐步线性回归，LDPC码的完整的编译码。( Data packet transfer source program, Continuous phase modulation signal (CPM) to produce, Is the basis of the signal processing, Stepwise linear regression, Complete codec LDPC code.)

电力系统配电网重构，IEEE33节点，电力系统潮流计算优化(Distribution Network Reconfiguration of Power System)

小波包变换分析信号的MATLAB程序 小波分析信号去噪 小波分解与重构经典程序(Wavelet packet transform analysis of signals in MATLAB program Signal de-noising wavelet decomposition wavelet analysis and reconstruction classic program)

S.J.Chapman《MATLAB编程》中文版 经典著作权威翻译，希望为广大matlab初学者提供帮助(SJChapman MATLAB Programming authoritative translation of the Chinese version of classics, I hope for the general matlab beginners help)

完整的Kalman Filter、EKF、IEKF、Unscented Kalman Filter及Particle Filter滤波程序。(The complete Kalman Filter, EKF, IEKF, Unscented Kalman Filter and Particle Filter filtering procedure.)

本书是比较好的matlab学习资料 可以帮助初学者掌握基本的编程，里边也包含了程序源是很方便的。(This book is a good matlab learning material to help beginners master the basic programming, which also contains the program source is very convenient.)

模型辨识 模糊神经网络 T-S模型 输入输出 隶属度函数(Model Identification of TS Fuzzy Neural Network model input and output membership function)

很好用的统计模式识别工具箱，用matlab编写，enjoy！(good use of statistical pattern recognition toolkit, prepared using Matlab, enjoy!)