BOC

杆的有限元程序：二维杆的静态分析，求出位移、应力、应变，材料力学与弹性力学结果进行了比较(Finite element procedures: two-dimensional bar of static analysis, find the displacement, stress, strain, material mechanics and elasticity results are compared)

输入信号为正弦波加白噪声，分别用lms，lrs，维纳算法，滤出白噪声中的正弦波。(The lms，lrs filter。)

QAM16. feed-back gardner symbol sync farrow interpolator decision feed-back phase sync gain control .simulink matlab 7.0.

一级倒立摆稳定控制，非线性模型近似线性化处理(Inverted pendulum design by matlab simulink)

Determination of the minimum distance between two SuperEllipsoids surfaces. Using Optimization

reconocimiento de caminos con hough

在MAtlab中关于多级哈尔变换函数，可以实现简单的图像处理的小波变换(Multi-level Haar transform function)

介绍基于MATLAB环境中遗传算法工具箱及应用，包括常用函数、工具箱、实例等资料(Describes an environment based on MATLAB genetic algorithm toolbox and applications, including commonly used functions, the toolbox, examples, etc.)

We address the problem of blind carrier frequency-offset (CFO) estimation in quadrature amplitude modulation, phase-shift keying, and pulse amplitude modulation communications systems.We study the performance of a standard CFO estimate, which consists of first raising the received signal to the Mth power, where M is an integer depending on the type and size of the symbol constellation, and then applying the nonlinear least squares (NLLS) estimation approach. At low signal-to noise ratio (SNR), the NLLS method fails to provide an accurate CFO estimate because of the presence of outliers. In this letter, we derive an approximate closed-form expression for the outlier probability. This enables us to predict the mean-square error (MSE) on CFO estimation for all SNR values. For a given SNR, the new results also give insight into the minimum number of samples required in the CFO estimation procedure, in order to ensure that the MSE on estimation is not significantly affected by the outliers.

说明：  遗传算法实现50维函数优化，代码简单易懂，适合初学者。(Genetic algorithm of 50-dimensional function optimization, code easy-to-read, suitable for beginners.)