LMS2

用增量子空间学习法（IPCA）实现车辆的前景检测(With incremental subspace learning method (IPCA) to achieve the prospect of testing vehicles)

用MATLAB仿真，实现哈夫曼编码的MATLAB仿真研究。(Using MATLAB simulation, Huffman coding to achieve simulation of MATLAB.)

LDPC译码算法，没有采用LOG方法，MATLAB语言实现仿真(LDPC decoding algorithm, without the use of LOG methods, MATLAB simulation)

在Matlab中实现日期转换，以GUI的形式创建界面。(The date of conversion is implemented in Matlab, a GUI interface to create the form.)

LDA algorithm for matlab

用matlab 7.0编写的滑模变结构仿真的例子。(S-function for continuous state equation function [sys,x0,str,ts]=s_function(t,x,u,flag) switch flag, Initialization case 0, [sys,x0,str,ts]=mdlInitializeSizes Outputs case 3, sys=mdlOutputs(t,x,u) Unhandled flags case {2, 4, 9 } sys = [] Unexpected flags otherwise error([ Unhandled flag = ,num2str(flag)]) end mdlInitializeSizes function [sys,x0,str,ts]=mdlInitializeSizes sizes = simsizes sizes.NumContStates = 0 sizes.NumDiscStates = 0 sizes.NumOutputs = 3 sizes.NumInputs = 1 sizes.DirFeedthrough = 1 sizes.NumSampleTimes = 0 sys=simsizes(sizes) x0=[] str=[] ts=[] function sys=mdlOutputs(t,x,u) x11d=sin(pi*t/2) x21d=cos(pi*t) x31d=1 sys(1)=x11d sys(2)=x21d sys(3)=x31d )

仍然是卷积码的代码，是matlab的，最近写这方面的论文，找了很多(Convolutional code is still code, is matlab, recently wrote this paper to find a lot of)

这次上传的绝对是好东西，数值优化，关键是对不同函数进行运算。这次将无约束测试问题上传，可作为论文数值计算使用。注：本人本科毕业论文做的是无约束优化，研究生做的是结构方程(LISREL)、数值优化、蚁群算法，可以进行交流，联系QQ272958823(Test function for optimation!)

说明：  用Matlab实现相关分析,并建立其系统界面；对给定的试验数据进行相关分析(Correlation analysis using Matlab implementation and the establishment of the system interface on a given test data correlation)

该程序汇编水平集拓扑优化的GUI，学者可以通过人机界面进行结构的拓扑优化(lever-set )