ols

实现基本的PCM编译码功能，函数简单，程序可行(PCM encoding and decoding functions to achieve the basic function is simple, practical procedures)

说明：  OFDM,里面的源程序经过调试可以使用，大家参考参考(OFDM, which can debug the source code through the use of your information)

阵列信号处理中的常规波束形成。 原创。。。。。。。。(Array signal processing in conventional beamforming. Original. . . . . . . .)

1．本程序演示的是用简单遗传算法随机一个种群，然后根据所给的交叉率，变异率，世代数计算最大适应度所在的代数 2．演示程序以用户和计算机的对话方式执行，即在计算机终端上显示“提示信息”之后，由用户在键盘上输入演示程序中规定的命令；相应的输入数据和运算结果显示在其后。 3．测试数据 输入初始变量后用y=100*(x1*x1-x2)*(x1*x2-x2)+(1-x1)*(1-x1)其中-2.048<=x1,x2<=2.048作适应度函数求最大适应度即为函数的最大值 (1. This program demonstrates a simple genetic algorithm is a random population, then according to the crossover rate and mutation rate, fitness for calculating the maximum number of generations in which algebra 2. Demo program to computer users and the implementation of dialogue, that is displayed on a computer terminal " message" after the keyboard input by the user specified in the order demo program the corresponding input data and results in a subsequent operation. 3. Test data input with the initial variables y = 100* (x1* x1-x2)* (x1* x2-x2)+ (1-x1)* (1-x1) where-2.048 < = x1, x2 < = 2.048 ask for the maximum fitness function is the function of the maximum fitness)

HMM人脸识别在MATLAB平台下的源代码，能够实现准确的人脸识别(HMM recognition in MATLAB platform s source code, provides a range of programs)

all matlab code are to the very hard and good is imporatnt

Support Vector Machines solution

本文利用数学软件MATLAB对Lorenz系统等六个重要的混沌模型进行数值计算，同时模拟出各类混沌系统的独特性质，如混沌吸引子，倍周期，初值敏感性，相图，分岔图等。通过观察和分析上述特性，加深了我们对混沌现象的理解。(In this paper, the mathematical software MATLAB is used to numerically calculate six important chaotic models such as Lorenz system, and simultaneously simulate the unique properties of various chaotic systems, such as chaotic attractors, period of time, initial value sensitivity, phase diagram, bifurcation diagram, etc. . By observing and analyzing the above characteristics, we have deepened our understanding of chaotic phenomena.)

This code is used to simulation of bed load transport in two phase flow domain.

说明：  独立成分分析算法降低原始数据噪声，并提取特征值，非常有用得数据去噪程序。(Independent component analysis algorithm reduces the raw data noise, and extract characteristic value, is more helpful data denoising procedure.)