rayleigh

说明：  瑞利、韦伯、对数等分布的密度图、功率图等的雷达杂波的matlab仿真程序(Rayleigh, Weber and logarithm of the density distribution, power plans, such as radar clutter simulation program matlab)

It demonstrates theoretical and Monte-Carlo outage performance over asymmetric fading channel

自己编写的脑电滤波程序，实现0.3到120HZ范围的滤波(I have written EEG filtering process, to achieve the filtering range of 0.3 to 120HZ)

Matpower4.1：潮流计算与最优潮流(Matpower: flow calculation and optimal power flow)

产生一个含噪声矩形波，用小波分析和傅里叶变换分析进行信号噪声消除并比较两者的去噪声能力。(Produce a rectangular wave Noisy, wavelet analysis and Fourier transform analysis of signal-to-noise cancellation and compare the ability of both to noise.)

CC2530的定时器实验，使用IAR编写。(CC2530 key experiments, using IAR preparation procedures.)

1.CAmodelfusion.m 主要功能： （1）完成两个传感器各自对基于CA模型的目标状态的Kalman估计； （2）实现传感器的局部状态估计的SCC和CI融合算法的实现； （3）画出局部估计和两种融合估计的位置、速度、加速度的误差； （4）画出局部估计和两种融合估计的协方差椭圆。 2.CVmodelfusion.m 主要功能： 功能与CAmodelfusion.m基本相似，差异在于实现基于CV模型的估计和估计融合。 3.CovInter.m 主要功能： 寻找CI融合算法的融合估计的协方差阵的行列式最小的权值。 4.f_plot_ellipse_m.m 主要功能： 绘制四种估计的协方差椭圆 (1.CAmodelfusion.m main functions: (1) completion of two sensors each target state based on CA model of Kalman estimation (2) the realization of the sensor partial state estimation algorithm SCC and CI integration and (3) Draw Local estimated position and two fusion estimation, velocity and acceleration errors (4) Draw two fusion of local estimates and estimated covariance ellipse. 2.CVmodelfusion.m Main Features: a CAmodelfusion.m similar, the difference is that the estimated CV-based estimation and model integration. 3.CovInter.m main functions: Find fusion algorithm fusion CI estimated covariance matrix of the determinant minimum weight. 4.f_plot_ellipse_m.m main functions: Draw four kinds estimate covariance ellipse)

PSO FOR TUNNING PARAMERTRS OF PID CONTROLLER

改程序可用于模拟凝固，再结晶，塑性变形微观组织演化(cellular compute_wait)

卡尔曼滤波器，用simulink建立滤波器模型，并带有.m文件(Kalman filter, filter model with simulink established, and with. M file)