RMLE_system_identification_matlab

Tracking of visual phenomena is hard. Very, very hard. And frustrating. You should try not to get discouraged by poor tracking results, but rather concentrate on the specific reasons why your tracker may not be performing well. Is the bad performance predictable from the theoretical properties of the tracker? If so, that s a valuable observation that will serve you well in the future

算法部分是网上下的，因为应用不同，有所改动，界面程序是我自己加的，很简陋，但是能用，有的地方原程序被注释掉了，是为了保持原有程序的语句，怕删掉以后回不去。运行时注意地址和函数调用格式 (poor)

主要使用MATLAB语言编写的高斯三度与六度带之间的转换(The main use of conversion MATLAB language Gauss three and six degrees between the bands )

select keypad for dtmf tone

MIMO OFDM 系统的性能仿真 很好用(The performance of MIMO OFDM system simulation is in good condition)

lorenz attractor generator

用matlab编写的雅克比方法求解线性方程组：数值分析中很经典的代码(a procedure of jacobi diedai)

Simple Genetic Algorithm coded in matlab

加窗插值用来实现加窗插值函数，适合初学者学校(IT is matlab)

四元数分解的点云配准，输入点云的源坐标和目标坐标，计算期望的旋转矩阵和平移向量。(Quaternion decomposition point cloud registration, input the source and target point cloud coordinates to calculate the expected rotation matrix and translation vector.)