编译通过的采用正交匹配追踪算法测试例程

To see the texture features

使用Matlab访问excel的程序包。(Using this Program Matlab access Microsoft Office Excel.)

This project provides matlab class for implementation of convolutional neural networks. This networks was developed by Yann LeCun and have sucessfully used in many practical applications, such as handwritten digits recognition, face detection, robot navigation and others (see references for more info). Because of some architectural features of convolutional networks, such as weight sharing it is imposible to implement it using Matlab Neural Network Toolbox without it s source modifications.

改进的子空间匹配追踪算法，对原子的筛选做了进一步的改进(Improved subspace matching pursuit algorithm, screening atoms make further improvement)

四元数，欧拉角及姿态矩阵的相互转换代码，这是一个学习的很好的代码，包括轨迹发生器的模拟，惯导导航，姿态四元数的解算，及位置速度的解算，包含注释浅显易懂。

说明：  根据波导的边界条件求取麦克斯韦方程组，对波导当中电磁波传播的模式进行仿真(strike the Maxwell s equations According to the boundary conditions of media ,simulate electromagnetic wave propagation of waveguide modes )

unsecnted Kalman Filter

杨万海《多传感器数据融合》P44页算法的具体实现，在MATLAB运行(Yang Wanhai" P44" page of multi sensor data fusion algorithm in the concrete realization, in the MATLAB run)

基于Matlab研究了离散混沌系统的数值解法和图形仿(Numerical Methods and graphics imitation of the discrete chaotic system based on Matlab)