NNC

很好用的matlab程序 用于kalman滤波器的实现 老板给的任务(A good use for the kalman filter matlab program to the task of the realization of the boss)

多波束形成的代码，其中也有一些自适应的波束形成代码(beam forming)

OCR for grid network

CVSD编解码算法:实现了无线通信系统中CVSD编码和解码实现(encoding and decoding for cvsd)

在ar人脸库上实现Direct Fisher discriminant analysis,该方法首先对类内散布矩阵对角化，然后对类间散布矩阵对角化，使类间散布矩阵对角化的矩阵即使鉴别向量集(In the ar face database to achieve Direct Fisher discriminant analysis, this method first within-class scatter matrix diagonalization, and then between-class scatter matrix diagonalization, so that between-class scatter matrix diagonalization of the matrix even if the identification of a vector set)

云模型的几个例子以及几种发生器：正向云发生器和逆向云发生器(Several examples of cloud models as well as several generators)

matlab中关于S函数用法的简单示例，帮助初学者快速理清S函数编程格式(simple example on the usage of the S function in the matlab help beginners sort out the S-function programming format)

matlab 高级应用的一些例子，希望对大家有所帮助(matlab examples of advanced applications, we hope to help)

本程序是应用ｍａｔｌａｂ程序编写的计算火箭发动机压力对应时间变化程序，程序中的公式和参数可以根据计算时间情况进行修改。(use matlab code to build a function to calculate the presure- time , the equation and paremeter in the code can be modified depended on your need)

目标跟踪问题的应用背景是雷达数据处理，即雷达在搜索到目标并记录目标的位置数据, 对测量到的目标位置数据（称为点迹）进行处理，自动形成航迹，并对目标在下一时刻的位置进行预测。 ben文简要讨论了用Kalman滤波方法对单个目标航迹进行预测，并借助于Matlab仿真工具，对实验的效果进行评估。 trajectory.m产生理论的航迹，并绘出 Kalman_filter.m 利用Kalman滤波算法，对目标的航迹进行估计 filter_result.m kalman滤波估计的结果，以及估计误差的均值和标准差曲线(target tracking application context radar data processing, radar in search of the goals and objectives of the record location data, for the measurement of target location data (known as trace points), automatic track, as well as the next target location for the moment forecast. Ben paper with a brief discussion of Kalman filtering method to a single target track forecast and using Matlab tool for experimental evaluation of effectiveness. Trajectory.m have theoretical track, and draws Kalman_filter.m using Kalman filtering algorithm, the target track estimated filter_result.m Kalman filtering results, and the estimated error of the mean and standard deviation of curve)