ls-ar

说明：  正弦信号，单个频率的正弦信号，频率为1KHz，幅度为5(Sinusoidal signal, a single frequency sinusoidal signal, a frequency of 1KHz, the range of 5)

寻北精度补偿 捷联惯性导航 滤波降噪 多位置方法(north find algorithm sins filter)

this code is about k mean clustering in Matlab

用MATLAB编写的经典的LMS算法，实现和验证了该滤波器的功能和性能。(Classical LMS algorithm using MATLAB, implement and verify the functionality and performance of the filter.)

盲多用户检测的LMS和RLS算法,在DS/CDMA通信系统中，为了解调出用户的有用信息，必须尽可能地抑制由其它用户扩频信号产生的多址干扰（MAI，Multiple Access Interference）。尽管最佳多用户检测器可以很好地抑制MAI，但其运算量会随着用户数的增加而呈指数增加。盲多用户检测技术可以在不知道其他用户信息的情况下检测出目标用户，所以在实际应用中有着十分重要的应用前景.(LMS and RLS algorithm Blind Multiuser Detection in DS/CDMA communication system, in order to demodulate the user useful information, must be possible to inhibit the spread spectrum signals generated by other users multiple access interference (MAI Multiple Access Interference) . Although the optimal multi-user detector can suppress MAI, but its computational complexity increases exponentially with the number of users increase. Blind Multiuser Detection technology can not know the other user information detected the target user, has a very important application prospect in practical applications.)

基于铌酸锂MZ调制器，通过展开，计算其三阶互调失真以及SFDR等(Based on lithium niobate MZ modulator, by expanding to calculate the third-order intermodulation distortion and SFDR etc.)

基于MUSIC算法阵列天线测向 给出已知角度 通过MUSIC算法 得到对应频谱及功率谱曲线(DOA estimation by MUSIC)

电力系统20节点测试系统电力系统20节点测试系统电力系统20节点测试系统(20-node test system of the power system of the 20-node test system of the power system of the power system 20-node test system)

以自动控制原理和汽车理论课程为理论基础，建立了汽车二自由度系统模型以及电动助力转向系统模型，并进行仿真。利用已经建好的车辆模型和转向系统模型，还可以实现与CarSim等车辆动力学软件实现联合仿真。(Based on the theory of automatic control and automobile theory, a vehicle two degree of freedom system model and an electric power steering system model are established and simulated. Using the built vehicle model and steering system model, it can also realize the joint simulation with CarSim and other vehicle dynamics software.)

最近在学习决策树，一个简单的决策树预测模型(Recently in the learning decision tree,A simple decision tree prediction model)