PRACTICE

粒子群优化算法（PSO）是一种基于种群的随机优化技术，由Eberhart和Kennedy于1995年提出。粒子群算法模仿昆虫、兽群、鸟群和鱼群等的群集行为，这些群体按照一种合作的方式寻找食物，群体中的每个成员通过学习它自身的经验和其他成员的经验来不断改变其搜索模式。 (Particle swarm optimization algorithm (PSO) is a population based stochastic optimization technique, put forward by Eberhart and Kennedy in 1995. Particle swarm optimization (pso) algorithm on insects, herds, flocks and schools of fish swarm behavior, and these groups to find food in a cooperative way, each member of the group itself by learning experience and the experience of the other members to continuously change its search pattern.)

信道化接收发射机设计，很好用。供大家一起研究学习。(Channelized receiver transmitter design, easy to use. Research for everyone to learn.)

统计学中lasso模型的实现，并且应用于l0模型的求解。里面包含数值实验(Lasso achieve statistical model and the model used to solve l0. Which contains numerical experiments)

对于BIHT算法的改进算法，效果较BIHT算法更好(For the improved algorithm of BIHT algorithm, the effect is better than that of BIHT algorithm.)

这是一个目标跟踪的matlab代码，机器人专业的同学应该会很感兴趣！！(This is a target tracking matlab code, the robot professional students should be very interested in! !)

基于SHE的谐波消除方法，使用simulink实现。具有13阶以内消除的功能(Harmonic elimination method based on the SHE, using simulink implementation. Has the function of eliminating within 13 order)

matlab课件很有用的,对matlab学习很有帮助,希望采纳谢谢(it s very useful)

CARS变量选择方法能够在一定程度上克服变量选择中的组合爆炸问题，筛选出优化的变量子集，提高模型的预测能力( Competitive Adaptive Reweighted Sampling method for variable selection.)

goldenman binormial tree matlab code

Model of simple DTMF decoder with fixedpoint arithmetic