simulation-of-RADAR

卡尔曼滤波仿真程序，MATLAB仿真，可以使用(Kalman filter simulation program, MATLAB simulation, you can use)

face detection + SVM in matlab

说明：  matlab实现的K-L变换实现主成分分析(matlab implementation of KL transform PCA)

贝叶斯压缩感知以及分布式贝叶斯压缩感知的算法实现，很好的范例(Bayesian Bayesian compressed sensing and distributed compressed sensing algorithm, a good example)

说明：  对数值进行分析，AP聚类算法是基于数据点间的"信息传递"的一种聚类算法。与k-均值算法或k中心点算法不同，AP算法不需要在运行算法之前确定聚类的个数。AP算法寻找的"examplars"即聚类中心点是数据集合中实际存在的点，作为每类的代表(For numerical analysis, AP clustering algorithm is based on the "information transfer" between data points. Unlike k-means algorithm or k-center algorithm, AP algorithm does not need to determine the number of clusters before running the algorithm. The "examples" searched by AP algorithm is the actual points in the data set as the representative of each class)

一些常用的通信系统仿真，16qam、64qam误码分析，turbo。(Some commonly used communication system simulation, 16qam, 64qam error analysis, turbo.)

gsm tch/fs语音信道传送接收过程仿真，包括外编码卷积码交织过程，仿真得到语音信号的误码率曲线。(gsm/fs voice transmission channel receiver process simulation, including the encoding process convolutional codes are intertwined, Simulation is the voice signal BER curves.)

利用SVM做回归线性测试。对于大盘指数的有效预测可以从整体上观测股市的变化提供强有力的信息，所以对上证指数的预测很有意义。通过对上证指数从1990.12.20-2009.08.19每日的开盘数进行回归分析，最终拟合的结果是：均方误差MSE=2.35705 e-005，平方相关系数 R=99.9195 。SVM的拟合结果还是比较理想的。(Make use of SVM linear regression testing. For the market index can predict the observed changes in the stock market as a whole to provide a strong information, so it makes sense to predict the Shanghai index. Through the Shanghai Composite Index opened daily from 1990.12.20-2009.08.19 number of regression analysis, the results of the final fit are: mean square error MSE = 2.35705 e-005, the square of the correlation coefficient R = 99.9195 . SVM fitting result is quite satisfactory.)

PID控制，可以实现延迟控制与Dalin算法。(PID control can be achieved the delay control Dalin algorithm.)

桥梁桩基工后沉降计算程序，基于Mesri蠕变模型(Program for post-construction settlement of brige pile foundation)