S11

BP神经网络的学习代码，是学习BP神经网络的入门代码，可以用于仿真实验(BP neural network to learn the code, BP neural network to learn the entry code can be used for simulation experiments)

已知离散的坐标数据，利用这些坐标点进行椭圆拟合的程序(Known coordinates of discrete data points to use these coordinates ellipse fitting procedure)

基于matlab 模拟仿真FDTD算法对印刷电路板表面的传输特性(Based on MATLAB simulation FDTD algorithm on the surface of the printed circuit board transmission characteristics)

高斯信道下能量检测算法，MPSK信号为例(Under Gaussian channel energy detection, MPSK signal, for example)

对七号信令MAP协议进行非常细致的讲解，大家有需要的可以下载参考(MAP signaling protocol on the 7th a very detailed explanation, you need to download the reference)

some files to calculate: Divergence Plotter , Curl Plotter , Scalar Line Integrator , Vector Line Integrator , Flux Integrator , Discrete Electrostatics Plotter , Laplacian Solver

一个最简单的EMD分解程序，并且附带部分注释，特别适合初学者学习。( 我的收藏设置 一个最简单的EMD分解程序，并且附带部分注释，特别适合初学者学习。 One of the most simple EMD program, with some of the notes, especially suitable for beginners to learn. )

Ant Colony Optimization (ACO) is a paradigm for designing metaheuristic algorithms for combinatorial optimization problems. The first algorithm which can be classified within this framework was presented in 1991 [21, 13] and, since then, many diverse variants of the basic principle have been reported in the literature. The essential trait of ACO algorithms is the combination of a priori information about the structure of a promising solution with a posteriori information about the structure of previously obtained good solutions.

精通MATLAB综合辅导与指南例程,讲解详细，例子丰富(Comprehensive counseling and guidance proficient in MATLAB routines, explain in detail, example-rich)

二次函数的共轭梯度法的matlab实现函数，输入相关参数即可进行迭代运算。(The function MATLAB realization of conjugate gradient method of quadratic function. )