D-learnig-matlab

数学建模2008年D题.该文件是2008年全国研究生数学建模D题的求解软件包。(Mathematical Modeling 2008 D. This document is the solving package of 2008 National Graduate D mathematical modeling problem.)

说明：  一篇有关人脸识别的文章，是2010年在国外做访问学者时下载的，仅供参考(An article on face recognition, in 2010 when a visiting scholar in foreign downloaded for reference purposes only)

用于大矩阵，采用矩阵运算优先速度的dtw算法实现。 dtw:Dynamic time warping 动态时间弯曲算法(dtw:Dynamic time warping )

matlab模拟退火智能优化算法，求取最短路径，已通过验证(matlab simulated annealing optimization algorithm intelligent, calculating the shortest path has been verified)

是信号处理的基础，LCMV优化设计阵列处理信号，多目标跟踪的粒子滤波器，到达过程是的泊松过程，最小均方误差（MMSE）的算法，使用大量的有限元法求解偏微分方程，music高阶谱分析算法，信号处理中的旋转不变子空间法。 ( Is the basis of the signal processing, LCMV optimization design array signal processing, Multi-target tracking particle filter, Arrival process is a Poisson process, Minimum mean square error (MMSE) algorithm, Using a large number of finite element method to solve partial differential equations, music higher order spectral analysis algorithm, Signal Processing ESPRIT method. )

代码实现多源信息融合中的针对多个传感器同时检测一个目标时的非线性测量和分布式融合。(The code can realize the non-linear measure and data fusion, in multi-source information fusion, when multiple sensors detect a target measurement.)

Very simple function to quickly plot a 3D cube

matlab的程序包，可以用来计算复杂网络的各种参数(This matlab program package can calculate parameters of the network)

对给定的系统实施基于内模原理的H无穷控制。并绘制阶跃响应图与bode图。同时加入了一定范围内的参数扰动，参数扰动时，系统同样可以稳定。(The implementation of H control based on the internal model principle of the given system. And draw the step response diagram and bode. At the same time, parameters are added to a certain range, and the system can be stable when the parameters are disturbed.)

快速NCC(normalized cross correlation)算法实现。比matlab自带的normxcorr2 快10-20倍。在windows Unix环境下c语言，和matlab编译通过。(use Matlab on Windows or Linux or Mac OS X and want fast (exact, general-case) normalized correlation (NCC) code right now, then download it and enjoy the large performance gain over Matlab s normxcorr2 (demo included). For the brave (and/or masochistic) there is B), however, it is unlikely you will do better than the above. Thanks to Liang Jin for making the OS X binary (his performance comparison graph on a PowerPC). )