gauss-seidel

说明：  自编的快速小波变换mallat算法，使用‘db1’小波函数，在卷积时使用wkeep命令进行了数据截取。重构信号和原信号比较误差较小。(self fast wavelet transform Mallat algorithm, the use of 'db1' wavelet function, Convolution in the use of wkeep order the interception of data. Reconstruction of the original signal and signal more smaller error.)

PCA to face Recognition

说明：  利用matlab构建蚁群算法自动获取图像的轮廓(Construction of ant colony algorithm using matlab image contours automatically get)

遗传算法，一种启发式算法，用于演化求最优值(Genetic algorithm, a heuristic algorithm for evolutionary optimization)

针对EMD方法的不足,计算目标和海洋回波的功率谱密度,电力系统暂态稳定程序，可以进行暂态稳定计算。( For lack of EMD, Calculating a target and ocean echo power spectral density, Power System Transient Stability Program, can be transient stability.)

Adding help and demos to the help browser

This MATLAB implementation computes a correspondence between two shapes based on ant colony optimization (ACO). The input shapes can be either two 2D contours (open or closed) or two arbitrary sets of 2D points. The algorithm is described in detail in:

基于Matlab的人工势场法下路径规划与避障(Path planning and obstacle avoidance under artificial potential field based on Matlab)

this is the program for color based image retrieval system....

说明：  LIBSVM是台湾大学林智仁(Lin Chih-Jen)副教授等开发设计的一个简单、易于使用和快速有效的SVM模式识别与回归的软件包，他不但提供了编译好的可在Windows系列系统的执行文件，还提供了源代码，方便改进、修改以及在其它操作系统上应用；该软件还有一个特点，就是对SVM所涉及的参数调节相对比较少，提供了很多的默认参数，利用这些默认参数就可以解决很多问题；并且提供了交互检验(Cross Validation)的功能。(LIBSVM Taiwan University, Lin Zhiren (Lin Chih-Jen) and associate development and design of a simple, easy to use and fast and efficient SVM pattern recognition and regression of the package, he can not only provide a compiled implementation of the system in the Windows family of documents , also provides the source code to facilitate the improvement, modification and other operating systems applications the software has a feature that the parameters of the SVM involves relatively small adjustment to provide a lot of default parameters, use the default parameters on can solve many problems and to provide a cross-validation (Cross Validation) feature.)