MP

This is a matlab code for m sequence code finding

沃伦·巴菲特（Warren Buffett，1930年8月30日－），美国投资家、企业家、及慈善家，被称为股神，尊称为“奥玛哈的先知”、或“奥玛哈的圣贤”，目前拥有约620亿美元的净资产，根据《福布斯》杂志公布的2008年度全球富豪榜，他已经超过卡洛斯·斯利姆·埃卢和比尔·盖茨成为全球首富。 (Warren Buffett (Warren Buffett, 1930 Nian 8 30-), American investors, entrepreneurs, and philanthropist, known as Unit God, affectionately known as " Omaha' s prophet," or " Omaha sages " , now has about 620 billion in net assets, according to" Forbes " magazine published 2008 annual global rich list, he has more than Carlos Slim Helu and Bill Gates as the world' s richest man.)

Gaussian Elimination with Pivoting Method by Cheuk Function uses Gauss elimination with pivoting to solve a linear system in standard format. (linear, algebra, gaussian)

SINR_roubst_beamforming算法(SINR_roubst_beamforming)

说明：  一套非常漂亮实用的图片站源码，以前本人用过的，而且排名很好！(A very nice picture stop source of practical, previously I used, but also a very good position!)

This is a file of matlab code.

Amplutide Modulation Matlab code

这些都是通信系统仿真与分析一书的源代码，希望对初学者有用，从基本的理论很好的用matlab进行了最基本的仿真(These are the communications system simulation and analysis of the source code of the book, I hope useful for beginners, from the basic theory of good use to the most basic matlab simulation)

用C_N格式求解耦合非线性薛定谔方程,matlab程序(C_N format used to solve coupled nonlinear Schrö dinger equation, matlab program)

说明：  用基本遗传算法求解一维无约束优化问题 用顺序选择遗传算法求解一维无约束优化问题 用动态线性标定适应值的遗传算法求解一维无约束优化问题 用大变异遗传算法求解一维无约束优化问题 用自适应遗传算法求解一维无约束优化问题 用双切点遗传优化求解一维无约束优化问题 用多变异位自适应遗传优化求解一维无约束优化问题 (The basic genetic algorithm with one-dimensional sequence of unconstrained optimization problems using genetic algorithm selected one-dimensional non-linear constrained optimization problem of dynamic calibration of genetic algorithm to adapt to the value of one-dimensional unconstrained optimization genetic algorithm with a large variation of one-dimensional unconstrained adaptive genetic algorithm for optimization problem solving unconstrained optimization problems one-dimensional cut by two-dimensional point of GA for solving a problem of unconstrained optimization adaptive genetic optimization with variable ectopic solving one-dimensional unconstrained optimization problem)