static-bearing_1

遗传算法工具包，matlab 7.0包含了这个工具箱，matlab7.0以前的版本没有这个工具箱，雷英杰编著《Matlab遗传算法工具箱及应用》对这个工具箱的使用进行了介绍(Genetic Algorithm Toolkit, matlab 7.0 contains the toolbox, matlab7.0 previous versions do not have this toolbox, LEI Ying-jie edited )

说明：   运用MATLAB编程得到简单信号、简单信号运算、复杂信号的谱和功率谱图，复杂信号的谱存在线谱和连续谱，并分析其组成。(Be simple to use MATLAB programming signal, a simple signal computing, complex signal and power spectrum of the spectrum, the existence of complex signal spectrum line spectrum and continuous spectrum, and to analyze its composition.)

《Matlab工具箱应用指南——信息工程篇》(" Matlab Toolbox application guide- Information Engineering articles" )

Returns weighted percentiles of a sample given the weight vector w ％ The idea is to give more emphasis in some examples of data as compared to ％ others by giving more weight. For example, we could give lower weights to ％ the outliers. ％ The motivation to write this function is to compute percentiles for Monte ％ Carlos simulations where some simulations are very bad (in terms of goodness ％ of fit between simulated and actual value) than the others and to give ％ the lower weights based on some goodness of fit criteria.(Returns weighted percentiles of a sample given the weight vector w The idea is to give more emphasis in some examples of data as compared to others by giving more weight. For example, we could give lower weights to the outliers. The motivation to write this function is to compute percentiles for Monte Carlos simulations where some simulations are very bad (in terms of goodness of fit between simulated and actual value) than the others and to give the lower weights based on some goodness of fit criteria .)

16QAM +AWGN added+BER(16QAM+AWGN added+BER)

Finds a maximum of a function of several variables. fmaxga solves problems of the form: max F(X) subject to: LB <= X <= UB

运用最小二乘法进行风电功率拟合，再使用它进行预测，含数据和实际案例(Using the least squares method to fit wind power, and then use it to predict, including data and actual cases)

Chua系统的simulink仿真，可以运行(Chua system simulink simulation, you can run)

Viewpoint Adjustment Using Seam Carving Imitate Parallax with Seam Carving: Foreground objects or other objects of interest are tend to be more “interesting” than the background. Seam carving algorithm can automatically distinguish the two. Removing seams from one side of the object while adding seams to the other side will move the object in one direction while keeping the background relatively the same.

说明：  《Matlab6.x符号计算与应用》机械工业出版社2003年版，刘宏友 彭锋 等编著。本书基于matlab6.0环境下的大量实例，介绍了matlab符号计算功能的适用方法。(Matlab6.x symbolic computation and application，China Machine Press, 2003 edition. LIU Hongyou-Peng Feng, eds. This book based on a large number of instances in matlab6.0 environment, introduced the application of matlab symbolic computing methods.)