quzao2

这是一个解决tsp问题的代码，采用遗传的方法进行编程，大大的简化了最优规划迭代的问题，是的程序运行的快速准确(This is a solution to the problem tsp code, using the method of genetic programming, which greatly simplified the problem of optimal planning iteration, the procedure is fast and accurate operation)

梯度下降法优化函数，包括回溯搜索法和精确直线法(Gradient descent method to optimize the function, including backtracking search method and precise line method)

声子晶体的源程序：圆柱形散射体呈正三角排列的Ｚ模程序(Phononic crystal source: cylindrical scattering takes the shape of the Z mode is triangular arrangement of the program)

SVM用于分类时的参数优化，粒子群优化算法，用于优化核函数的c,g两个参数(SVM PSO)

在matlab的环境下，实现MIMO检测功能，包括最大似然检测（ML），最小均方误差（MMSE）检测和迫零（ZF）检测(In the matlab environment, to achieve MIMO detection, including maximum likelihood detection (ML), minimum mean square error (MMSE) detection and zero-forcing (ZF) detection)

小波变换bp omp等方法的二维比较程序(Two dimensional comparison of wavelet transform, BP, OMP and other methods)

Calculates satellite coordinates

SVM方法的基本思想是：定义最优线性超平面，并把寻找最优线性超平面的算法归结为求解一个凸规划问题。进而基于Mercer核展开定理，通过非线性映射φ，把样本空间映射到一个高维乃至于无穷维的特征空间（Hilbert空间），使在特征空间中可以应用线性学习机的方法解决样本空间中的高度非线性分类和回归等问题。svm 程序，即支持向量机的代码。(The basic idea of SVM method are: the definition of the optimal linear hyperplane, and the search algorithm for optimal linear hyperplane by solving a convex programming problem. Then based on Mercer nuclear expansion theorem, through a nonlinear mapping φ, the sample space is mapped to a high-dimensional and even infinite dimensional feature space (Hilbert space), so that in the feature space can be applied to solve the linear learning machine method, the sample space The highly nonlinear classification and regression problems. svm procedures that support vector machine code.)

一个参照葛德彪书编写的3D FDTD源文件，用matlab语言编写，非常详细的注释，很易看懂,2mur bianjie(GE De-biao a reference book, prepared by 3D FDTD source files, using matlab language, very detailed notes, it is easy to understand, 2mur bianjie)

带海明窗的FFT滤波器，带通滤波器，附带批处理程序(FFT with Hamming window filters, band-pass filter, with a batch process)