work

This code is used for converting Fortran code to Matlab code. What you have to do is to put this toolbox in the matlab path and run it from the command line.

在matlab中，利用神经网络的学习小程序(In matlab, using neural network learning applet)

说明：  The setting of the game is very simple: a bunch of people sitting at a round table throwing a dice at each turn, and things happen according to the value of the dice. We define moving right as moving forward on the linked list and moving left as moving backwards on the linked list.

这是个基于MATLAB的三维重建的例子，想用的话需要安装matlab软件哦(this is a 3D reconstruction demo.needmatlab)

matlab gui的基本应用代码，可以让你对GUI的功能有基本的了解(matlab gui application code that allows you to have a basic understanding of the functionality of the GUI)

使用一组陀螺实测数据为原始数据，通过时变卡尔曼滤波，得到两组输出滤波图(Use a gyroscope data as raw data, through the time-varying Kalman filtering, the final two output filter figures are obtained)

STEREO VISION SOURSE CODE

递归式最小均方（RLS）算法的基本思想是力图使在每个时刻对所有已输入信号而言重估的平方误差的加权和最小，这使得RLS算法对非平稳信号的适应性要好。与LMS算法相比，RLS算法采用时间平均，因此，所得出的最优滤波器依赖于用于计算平均值的样本数，而LMS（NLMS）算法是基于集平均而设计的，因此稳定环境下LMS（NLMS）算法在不同计算条件下的结果是一致的(Recursive least-mean-square (RLS) algorithm for the basic idea is to try to make in every moment of all the input signal in terms of re-evaluation of the weighted squared error and the smallest, which allows non-stationary RLS algorithm for adaptive signal better. Compared with the LMS algorithm, RLS algorithm uses the average time, therefore, the resulting optimal filter depends on the used to calculate the average number of samples, and the LMS (NLMS) algorithm is designed based on set average, and therefore a stable environment LMS (NLMS) algorithm in different conditions, the results of the calculation is consistent)

exercices of FEM with matlab

very good ofdm notes