SA_TSP

用matlab语言写的C4.5算法,用于模式分类(Matlab language used to write the C4.5 algorithm for pattern classification)

根据输入的电路矩阵表示形式，形成节点导纳矩阵，形成因子表的过程可以看做是规格化运算和消去运算的重复过程，重复的次数和非基准点的节点个数相同。 每个过程中进行的操作都相同，首先，存储规格化因子及消去因子；其次，对本行进行规格化运算，并将其值存储在因子表中；然后，对其后的每行进行消去运算；如此循环n次得到因子表。(Representation of the input of the circuit matrix, forming a node admittance matrix formation process can be seen as a factor table normalization process operations and eliminate duplicate operations, the same number of nodes and the number of repetitions of non-reference point. Each operation carried out during the same, first of all, storage and elimination factor normalization factor secondly, the Bank normalized operations, and its value is stored in the factor table then, each row will be erased after their operation so the cycle n times to get factor table.)

Feature selection by Genetic algorithm for classification

基于MATLAB系统simulink中的交叉耦合控制算法的仿真与应用。(The cross coupling control system based on MATLAB simulink simulation and application of the algorithm.)

说明：  点目标成像，距离多普勒算法（RD）,能够实现点目标仿真。(Point target imaging and range Doppler algorithm (RD) can realize point target simulation.)

给灰度图像任意着色，利用随机游走算法，色彩空间变换，通过YCbCr色彩空间完成图像着色(Any color to grayscale images using random walk algorithm, color space conversion, the YCbCr color space to complete the image coloring)

matlab的各种随机过程的模拟，包括布朗运动，随机树等(matlab simulation of various stochastic processes, including Brownian motion, random trees, etc.)

采用BP算法来实现压缩感知的信号重构示例。BP算法由线性规划来实现，稀疏基为DCT基，信号为语音信号(an example of using BP algorithm for signal reconstruction in compressed sensing. BP algorithm is implemented by linear programming, sparse basis is the DCT basis, the signal used is speech)

说明：  NSCT工具箱，研究非降采样contourlet变换的工具(NSCT toolbox to study the transformation of nonsubsampling contourlet )

关于时间序列分析的matlab程序代码，对原有的工具箱的补充(on time series analysis Matlab code, the original supplementary Toolbox)