Matlab_code

说明：  分别采用感知机算法、最小平方误差算法、线性SVM算法设计分类器，分别画出决策面，并比较性能。(Perceptron algorithm were used, the least square error algorithm, linear SVM classifier algorithm, respectively, making face paint, and compare performance.)

erikson chapter8 solved problems

HARRIS CORNER DETECT

在判别分析中使用粒子群优化算法求解最优判别函数(Particle Swarm Optimization(PSO))

uncodeded block simulation with matlab

Comparison with ground truth and triangulation provided, with varying amounts of gaussian noise added in train and test data. GUI is in Portuguese, but self-explanatory. English version will be provided soon.

simulink实现的HARQ的系统模型的搭建(simulink realization of HARQ system model structure)

多目标跟踪的改进Camshift/卡尔曼滤波组合算法(Multi-target tracking improvements Camshift/Kalman filter algorithm combinations)

matlab code for genetrating mosualted qpsk wavefrom

harris特征点检测的matlab实现(harris feature point detection in matlab implementation)