MATLABGenetic-Algorithm

by matlab draw the julia set and mandelbrot set.

本程序实现了一个基本的基于2psk的误码率仿真程序，比较适合初学通信的人士学习。(This program realize a simulation based on Bpsk modulation, and it is suitable for any beginner of telecommunication)

matlab 时频分析工具箱 matlab 时频分析工具箱time-frequency analysis toolbox(time-frequency analysis toolboxtime-frequency analysis toolboxtime-frequency analysis toolbox)

说明：  基于Mifare卡的读写器设计 具体详见内容(Based on the Mifare card reader designed to see the contents of a specific)

psk调制解调及相应误码率计算。随机产生一正弦信号并进行相应的调制解调。(psk modem and the corresponding bit error rate. Randomly generate a sinusoidal signal and the corresponding modem.)

说明：  它主要研究的是多因变量对多自变量的回归建模，特别当各变量内部高度线性相关时，用偏最小二乘回归法更有效。另外，偏最小二乘回归较好地解决了样本个数少于变量个数等问题。 偏最小二乘法是集主成分分析、典型相关分析和多元线性回归分析3种分析方法的优点于一身。它与主成分分析法都试图提取出反映数据变异的最大信息，但主成分分析法只考虑一个自变量矩阵，而偏最小二乘法还有一个“响应”矩阵，因此具有预测功能。(It is mainly a result of the study is a multi-variable regression modeling and more independent variables, especially when the internal height of each variable linear correlation, partial least squares regression method is more effective. In addition, partial least squares regression solves the number of samples is less than the number of variables and other issues. Partial least squares method is a set of principal component analysis, canonical correlation analysis and multiple linear regression analysis of the advantages of the three methods in one. It is the principal component analysis are trying to extract the maximum information reflects data variability, but the principal component analysis considers only one independent variable matrix, and partial least squares and a &quot response&quot matrix, predictive capabilities.)

仿真2*2MIMO通信系统ML、ZF、MMSE检测算法性能，给出三种检测算法的误比特率。(Multi-input multi-output (mimo) communication system simulation 2* 2 ML, ZF and MMSE detection algorithm performance, the bit error rate of three detection algorithms is given.)

说明：  matlab生成随机分布纤维代码，用于后续模拟处理(Matlab generates randomly distributed fiber code for subsequent simulation processing)

backprogation step by step (single layer)

非线性方程求解1--5（3） 非线性方程求解1--5（3）