mif_generation

说明：  mimo工具箱 多输入多输出天线功能函数箱 可以提供信道仿真(The MIMO Toolbox is a collection of Matlab functions and a GUI. Its purpose is to complement the Control Toolbox for Matlab with functions capable of handling the multivariable input-output scheme.The MIMO Toolbox was developed for Matlab 7. )

PLL锁相环的角度生成问题，角度的代入运算前的修正问题，总算是解决了！(PLL PLL angle generation problem, the angle of substitution before the operation to fix the problem, finally solved!)

simulink实现DSTATCOM功能(Simulink DSTATCOM function realization)

层次分析法的Matlab界面，用于AHP的处理计算(The interface of AHP build in Matlab)

说明：  编写的一个信号通过带阻滤波器的例子，已经运行通过(Signal through an example of band-stop filter, run by)

一个基于谢尔菲德遗传工具箱开发的求函数y=sin（10*∏*x）/x在区间[1,2]上的最小值的一个matlab程序.(It is a matlab program dealing with the minimum of the function y=sin(10*∏*x)/x,writing with shefield Genetic alogrithm toolbox.)

雷达中的线性调频连续波的MATLAB实现程序(LFM wave MATLAB program)

Data Clustering with Normalized Cuts

几个粒子滤波的粒子。包括普通的粒子滤波和基于扩展卡尔曼滤波器的粒子滤波器源程序。(Several particle filter particles. Including ordinary particle filtering and extended Kalman filter-based particle filter source.)

小波神经网络的源程序: 1.构造的非线性函数: 位于nninit_test.m 2.直接用WNN逼近非线性:Wnn_test.m, (内部调用小波函数) 3.遗传算法优化后逼近 :GA_Wnn_test.m (内部调用遗传算法的,初始化,适应度,解码函数)-genetic algorithm optimization WNN source : 1. Construction of the nonlinear function : nninit_test.m at 2. WNN directly with nonlinear approximation : Wnn_test.m. (internal called wavelet function) 3. Genetic Algorithm optimization approach : GA_Wnn_test.m (internal called genetic algorithms, initialize, fitness and decoding functions) (Wavelet neural network source code: 1. Construction of the nonlinear function: at nninit_test.m 2. Wnn the direct use of nonlinear approximation: Wnn_test.m, (internal call wavelet function) 3. Genetic algorithm optimized approximation: GA_Wnn_test. m (internal call genetic algorithms, initialization, fitness, decoding function)-genetic algorithm optimization WNN source: 1. Construction of the nonlinear function: nninit_test.m at 2. WNN directly with nonlinear approximation: Wnn_test.m. ( internal called wavelet function) 3. Genetic Algorithm optimization approach: GA_Wnn_test.m (internal called genetic algorithms, initialize, fitness and decoding functions))