my-code

Comparison : UKF and EKF UNGM system model

说明：  遗传算法几个好的工具箱，给大家分享，希望互相交流(Several good genetic algorithm toolbox, to share with you the hope that mutual exchanges)

pure aloha 和slotted aloha算法的 matlab代码。结果显示了两种算法吞吐量的对比，通过修改标签数也可以得出吞吐量的变化值。 纯ALOHA协议(Pure ALOHA) 当传输点有数据需要传送的时候，它会向立即向通讯频道传送。 接收点在收到数据后，会ACK传输点。 如果接收的数据有错误，接收点会向传输点发送NACK。 当网络上的两个传输点同时向频道传输数据的时候，会发生冲突，这种情况下，两个点都停止一段时间后，再次尝试传送。 因为有太多的传输冲突.(pure aloha and slotted aloha algorithm matlab code. The results show the comparison of the two algorithms throughput, by modifying the number of labels can also come to change the value of the throughput. Pure ALOHA protocol (Pure ALOHA) When the transfer point has data to transmit, when it would have to immediately transfer to the communications channel. After receiving the data reception point will ACK transmission points. If the received data has an error, the receiver sends NACK point to point transmission. After transmission when two points on the network at the same time to the channel to transmit data, it will conflict, in this case, two points are stopped for some time, try the transfer again. Because there are too many transmission conflict.)

my chAT APPLICATION NEW WAY TO CHAT

模拟电缆局部放电simulink仿真。可用于信号特征量提取和分析之用。(Analog cable partial discharge simulink simulation. It can be used to signal feature extraction and analysis.)

基于模型预测控制设计的无人驾驶车辆轨迹跟踪问题，内附有MATLAB程序与详细的建模过程，研究车辆转向的同学可以作为参考(The trajectory tracking of unmanned vehicles based on model predictive control design is accompanied by MATLAB programming and detailed modeling process. Students studying the steering of the vehicle can be used as a reference.)

说明：  Cognitive Radio systems with liscense and Rental Users in addtion to adding noise and attenuation.(Beautiful)

QC_LDPC Parity check matrix For N=256

使用matlab实现ransac算法,具体见程序(ransac)

说明：  遗传算法（Genetic Algorithm）是模拟达尔文生物进化论的自然选择和遗传学机理的生物进化过程的计算模型，是一种通过模拟自然进化过程搜索最优解的方法，它最初由美国Michigan大学J.Holland教授于1975年首先提出来的，并出版了颇有影响的专著《Adaptation in Natural and Artificial Systems》，GA这个名称才逐渐为人所知，J.Holland教授所提出的GA通常为简单遗传算法（SGA）。(a genetic algorithm (GA) is a search heuristic that mimics the process of natural evolution. This heuristic is routinely used to generate useful solutions to optimization and search problems. Genetic algorithms belong to the larger class of evolutionary algorithms (EA), which generate solutions to optimization problems using techniques inspired by natural evolution, such as inheritance, mutation, selection, and crossover.)