matlab-genetic-algorithm

说明：  本程序是牛顿拉夫逊法求潮流，完全按照课本步骤，比较容易理解。(This program is the trend of Newton Raphson Method, complete the steps in accordance with textbooks, it is easier to understand.)

（1）用Doolittle三角分解（LU）法解方程组。 （2）分别用Jacobi迭代, Gauss-Seidel迭代法解方程组。 ((1) Triangle Doolittle decomposition (LU) Solving equations. (2), respectively, with Jacobi iteration, Gauss-Seidel iteration method for solution of equations.)

超宽带无线电技术是一本超宽带领域非常出名的书籍，这是书籍中每一个例子的代码。(The ultra-wideband radio technology is a very well known in the field of ultra-wideband books, this is an example of code books.)

这是一篇关于特征语音补偿方法的论文，想了解这方面知识的可以看看(This is a paper about the characteristics of speech compensation method, want to know about this aspect of knowledge can have a look)

本程序实现mimo无线通信的仿真程序，是通信工程用matlab实现mimo仿真的的必备程序。(This program implements mimo wireless communications simulation program, communications engineering simulation using matlab mimo essential procedures.)

matlab语言实现三维重构，自带图片，效果不错(Matlab language to achieve a three-dimensional reconstruction, comes with pictures, good results)

example code for Digital Signal Processing Using Matlab

插值算法是一类重要的线性搜索方法，其基本思想是在搜索区间中不断用低次插值多项式来近似目标函数。该程序是用二次插值算法求区间上的无约束最优化解。(Interpolation algorithm is one important class of linear search method, its basic idea is constantly in the search interval with a low polynomial interpolation to approximate the objective function. The program is used quadratic interpolation algorithm for unconstrained interval on optimal to resolve.)

Libelas(大规模高效立体匹配库)是cross-platfrom c++ 图书馆与MATLAB计算包装差异大的地图图像。输入 是一双纠正灰度立体图像的大小相同。输出相应的 差距的地图。(Libelas (LIBrary for Efficient LArge-scale Stereo matching) is a cross-platfrom C++ library with MATLAB wrappers for computing disparity maps of large images. Input is a rectified greyscale stereo image pair of same size. Output are the corresponding disparity maps.)

解压之后.添加到matlab->file->set path里面,就可以直接运行InvGUI.输入具体的数值后,自动plot figure.(After decompression. Added to the matlab-> file-> set path inside, you can directly run InvGUI. Enter specific values, the auto-plot figure.)