LDPC_Codes

完成M=4的正交信号的数字通信系统的蒙特卡罗仿真。分析其在加性高斯白噪声下误码率与信噪比之间的关系，绘出误码率-信噪比曲线图，并和物理曲线进行比较。(The completion of M = 4 orthogonal signals in Monte Carlo simulation of digital communication systems. Analysis of the additive white Gaussian noise bit error rate and signal to noise ratio under the relationship between the mapped BER- signal to noise ratio curve, and and physical curves for comparison.)

使用卡曼滤波器进行基于子空间的自适应多用户检测。经典文章，不容错过(Subspace-based blind adaptive multiuser detection using Kalman filter)

基于端射阵的平面阵列方向图研究，对端射阵优化，利用切比雪夫加权。(Figure based on end-fire array of planar array direction of end-fire array optimization, the use of Chebyshev weights.)

说明：  画n角星,其中n为大于5的奇数(偶数可以看成两个奇数角星的叠加) 比如6角星,可以看成两个三角星的叠加(Plotting and filling n-pointed star, in which n is an odd number greater than 5)

Project Robot Matlab

中国石油大学高春侠matlab课程课件，边进行知识点讲解边进行代码演示，ppt中附带可用源码(China University of Petroleum GAO ​ ​ Chun Xia matlab courseware, knowledge points to explain the side edges demo code, ppt included with available source)

people tracking after performing background subtraction and find the centroid of the blobs use for video suvelliance

应用matlab/simulink 对汽车自动离合器进行控制仿真(applying the matlab/simulink to simulate the automated clutch of vehicle)

基于MATLAB的递推最小二乘法辨识与仿真，很实用(MATLAB-based parameter identification and simulation, very useful)

自组织特征映射模型(Self-Organizing feature Map)，认为一个神经网络接受外界输入模式时，将会分为不同的区域，各区域对输入模式具有不同的响应特征，同时这一过程是自动完成的。各神经元的连接权值具有一定的分布。最邻近的神经元互相刺激，而较远的神经元则相互抑制，更远一些的则具有较弱的刺激作用。自组织特征映射法是一种无教师的聚类方法。(Self-organizing maps model (Self-Organizing feature Map), that a neural network to accept outside input mode, will be divided into different regions, the regional input modes have different response characteristics, while the process is done automatically . The connection weights of neurons with a certain distribution. Nearest neurons stimulate each other, while distant neurons are mutually inhibitory, with a further some of the weaker stimulus. Self-organizing feature map method is a clustering method without teachers.)