cdm-and-littlewood

OFDM simulation, demodulation

此m文件为脚本文件，在命令窗口输入命令：midamble，即可执行！ 单元数组--user_m，存储了K个用户的midamble码，user_m{1}对应用户1，以此类推。(This m file for the script file, enter the command in the command window: midamble, which can be executed! Cell array- user_m, stored K users of the midamble code, user_m (1) corresponds to user 1, and so on.)

金融数量分析 有关均值方差分析还有收益率波动问题的代码(Financial quantity analysis The mean variance analysis and yields fluctuation of the code )

MIMO script for STBC simulation

卡尔曼滤波实例分析与仿真源代码，帮你熟悉了解卡尔曼滤波原理和编程方法(Analysis and Simulation of Kalman Filtering source code examples to help you become familiar with the Kalman filter theory and programming methods)

基于TDOA定位，用卡尔曼滤波器的算法减小误差更准确地的去追踪和定位目标。(use the EKF algorithm to track the localization)

说明：  有两个程序，用于研究Mallet算法及滤波器设计和消噪(are two procedures for research and Mallet filter algorithm design and denoising)

说明：  一种最小二乘法的RBF网络 ---------------------------------- radical basis function neural network ------------------------------------------ clear all close all global sp k w2 b2 unitcenters alldatanum=400 traindatanum=300 testdatanum=100 sp=8 errorlimit=0.1 u=rand(1,alldatanum+10) y=zeros(1,alldatanum+10) for i=4:alldatanum+3 y(1,i)=1.5*y(1,i-1)*y(1,i-2)*y(1,i-3)/(3+y(1,i-1)+y(1,i-2)*y(1,i-2)+... y(1,i-3)*y(1,i-3)*y(1,i-3))+u(1,i)+u(1,i-1)+u(1,i-2) 。。。。。。。。。。。。。。。。。。。。。。。。。。。。。。。。(radical basis function neural network ------------------------------------------ clear all close all global sp k w2 b2 unitcenters alldatanum=400 traindatanum=300 testdatanum=100 sp=8 errorlimit=0.1 u=rand(1,alldatanum+10) y=zeros(1,alldatanum+10) for i=4:alldatanum+3 y(1,i)=1.5*y(1,i-1)*y(1,i-2)*y(1,i-3)/(3+y(1,i-1)+y(1,i-2)*y(1,i-2)+... y(1,i-3)*y(1,i-3)*y(1,i-3))+u(1,i)+u(1,i-1)+u(1,i-2) 。。。。。。。。。。。。。。。。。。。。。。。。。。。。。。。。)

a good algorithm for classification performance improvement (use PCA and LDA respectively and then implement the resulted data set into your classifier)

MATLAB的一些经典使用案例 适合初学者掌握MATLAB的使用技巧(the use of MATLAB)