MATLAB5

自己做的一些Matlab GUI 简单的小程序，适合刚接触GUI的用户使用。(Matlab GUI to do some of their simple little program for users who are new to GUI.)

信道解码viterbi算法的matlab实现，详细(channel Viterbi decoding algorithm Matlab details.)

振动理论中的中心差分法求解单自由度问题，希望对大家有帮助(Vibration theory of central difference method to solve the problem of a single degree of freedom, we want to help)

最大熵复原算法,用来处理图形复原重构，以及重建(Maximum entropy restoration algorithm)

对于圆阵的来波方向假定为90度时的阵列响应的Matlab源程序。(Circular Array for DOA assumed to be 90 degrees when the array response to the Matlab source code.)

先定义允许状态S={(x,y)|x=0或3,y=0,1,2,3 x=y=1,2}, 允许决策D={(u,v)|u+v=1,2},求dk<-D(k=0,1,2,…,n),使 状态Sk<-S按照状态转移律S(k+1)=S(k)+(-1)^k*dk,由初始状态 S1=[3,3]经有限步到达状态S(n+1)=[0,0].此为求解多步决策问题( First define to allow the state S = ((x, y) | x = 0 or 3, y = 0,1,2,3 x = y = 1,2), to allow the decision-making D = ((u, v) | u+ v = 1,2), seek dk < -D (k = 0,1,2, ..., n), so that state Sk < -S state transition in accordance with law S (k+1) = S (k )+ (-1) ^ k* dk, from the initial state S1 = [3,3] by the finite-step to reach the status S (n+1) = [0,0]. This is a multi-step decision-making problem solving)

MLRE算法，选取最优K近邻，是识别率达到更高(MLRE algorithm select the best K-nearest neighbor, is to achieve a higher recognition rate)

一些关于matlab仿真机器人的资料，包括4自由度机器人，六自由度机器人等(Information on robot learning, including the establishment of the coordinate system, the forward kinematics, inverse kinematics, location Jacques force Jacobian)

说明：  基于基本牛顿法求极值点需注意： 初值点要接近极值点，否则不收敛 (Newton s Method function extremum)

说明：  HOG特征提取在进行SVM行人检测，经典算法(HOG feature extraction in SVM pedestrian detection, classical algorithm)