ANN

对于MATLAB的学习非常有帮助 MATLAB函数命令大全(For very helpful in learning MATLAB Functions MATLAB command Daquan)

卡尔曼滤波器例子，跟踪目标，可以用去除噪声(Kalman filter example, target tracking Can be used to remove noise)

实现中继HARQ的发送与接收流程并对三种合并方式进行时延性能比较(Relay HARQ transmission and receiving process, and three kinds of merger delay performance)

an investigation on use of chaotic sequence in DS-CDMA. The DS-CDMA systems offer physical layer security without the need for a significant increase in computation or power requirements. Nowadays, DSCDMA has been used widely. These systems suffers from multiple access interference because of other users transmitting in the cell, channel inter symbol interference and additive white Gaussian noise. Codes have an effective role in DSCDMA system, so M-sequences; gold sequences have been used as spreading codes in DS-CDMA. These sequences by shift registers and periodic in nature are developed. However, these sequences are not enough and also limit the security. This paper presents an investigation on use of new type of sequences called chaotic sequences for DS-CDMA system. These sequences by chaotic maps are generated.

该源码是用MATLAB语言编写，目的是实现序列特征选却和RBF网络功能(The source code is written in MATLAB language, purpose is realized and the RBF network function is selected sequence characteristics)

单目标，窄带波束成形，精确定位，常规波束成形小程序(Single target, narrowband beamforming, precise positioning, conventional beamforming applet)

简单蚁群算法求解TSP的matlab源程序(simple ant algorithm for TSP source of Matlab)

贝叶斯分类亲，功能强大，适合于人工智能研究与应用(Bayesian classification pro, powerful, welcome to download the Blessings)

说明：  可用于风压数据处理，比如屋面开洞，风压频谱和风压体型系数和风压系数等(Data Processing of Wind Pressure)

说明：  主要功能： 1.完成传感器对目标状态的kalman滤波估计； 2.对传感器的状态估计进行SCC和CI融合； 3.画出位置及速度的估计和融合误差曲线、真实航迹及融合后航迹、K=1时刻的协方差椭圆(Main functions: 1. The Kalman filter estimation of the target state is completed; 2. The state estimation of sensors is fused by SCC and CI; 3. Draw the error curve of position and velocity estimation and fusion, real track and fusion track, covariance ellipse at k = 1)