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说明：  两个adaboost算法，代码很短，都有中文注释，第二个代码是第一个的改进。(Two algorithms about adaboost ,the code is very brief,including the Chinese comments. The second one improver better than the first one.)

用MATLAB仿真并计算出IIR滤波器的参数，为了防止在定点滤波器溢出，通过程序转化为定点处理器中的滤波参数(Simulation IIR Filter parameters)

数字信号处理离散系统响应的MATLAB程序，对学习系统响应有帮助(some matlab codes for study system respond in diginal signal processing.)

Finance-Stock software system

MATLAB simulation of 3-phase PWM rectifier. Sine PWM is used as modulation technique. Modulation index is 0.8.

implementation of NMPC control in matlab

该程序我编写的用于轴承振动数据的归一化处理。(the program i wrote is to normaliate the vibration signals of bears.)

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)

基于改进的蚁群算法利用matlab对VRP问题的求解(Based on improved ant colony algorithm using matlab to solve the VRP problem)

是波束形成的系统图，是整个波束形成的系统，方便大家做波束形成的图。(Is a system diagram of the beam-forming, and the whole beam forming system, facilitate beamforming FIG.)