cx_flatfading_jakes

给出swerling1模型的仿真程序，脉冲积累数为2.(Given swerling1 model simulation program, the number of pulses accumulated to 2.)

In statistics, an expectation-maximization (EM) algorithm is a method for finding maximum likelihood or maximum a posteriori (MAP) estimates of parameters in statistical models, where the model depends on unobserved latent variables. EM is an iterative method which alternates between performing an expectation (E) step, which computes the expectation of the log-likelihood evaluated using the current estimate for the latent variables, and a maximization (M) step, which computes parameters maximizing the expected log-likelihood found on the E step. These parameter-estimates are then used to determine the distribution of the latent variables in the next E step.

说明：  matlab信号调制与解调方面的书 我自己看了一遍 感觉还不错(matlab signal modulation and demodulation aspects of the book I read it again I feel pretty good)

Simulation for neural networks in matlab

通过AR模型模拟得到风荷载，其模拟是有davenport风速谱得到的(By AR model simulation of wind loads, and its analog davenport wind speed spectrum)

关于matlab解决0-1背包问题的修改，原先下载的matlab代码中有错误(Solve 0-1 knapsack problem matlab modifications, there is an error in the original download matlab code)

Anisotropic Diffusion

This CD contains examples and data files for the homework assignments in the November 14, 2004 draft of Parameter Estimation and Inverse Theory.

各算法对应的问题如下： 　　PSO 用基本粒子群算法求解无约束优化问题 　　YSPSO 用带压缩因子的粒子群算法求解无约束优化问题 　　LinWPSO 用线性递减权重粒子群优化算法求解无约束优化问题 　　SAPSO 用自适应权重粒子群优化算法求解无约束优化问题 　　RandWPSO 用随机权重粒子群优化算法求解无约束优化问题 　　LnCPSO 用学习因子同步变化的粒子群优化算法求解无约束优化问题 　　AsyLnCPSO 用学习因子异步变化的粒子群优化算法求解无约束优化问题 　　SecPSO 用二阶粒子群优化算法求解无约束优化问题 　　SecVibratPSO 用二阶振荡粒子群优化算法求解无约束优化问题 　　CLSPSO 用混沌粒子群优化算法求解无约束优化问题 　　SelPSO 用基于选择的粒子群优化算法求解无约束优化问 　　BreedPSO 用基于交叉遗传的粒子群优化算法求解无约束优化问 　　SimuAPSO 用基于模拟退火的粒子群优化算法求解无约束优化问题(13 PSO algorithms and coursewares)

基于RSSI的测距定位算法，可以直接自己写demo然后进行测试，十分的方便(RSSI-based distance positioning algorithm can write your own demo and then test, very convenient)