chapman_Book_Samples

简单的二维码QRCode C_C++库使用演示源代码

code for data preproccess in 3 steps :Swap lines with missing value NaN, zscore Normalization, Standardization process

hopfield视频课件及程序,很不错的学习资料，可以拿来参考一下(Hopfield video courseware and procedures, very good learning materials that can be used to refer to)

能够很好的实现hilbert变化，结果和matlab基本一样，已经通过实验。(Hilbert can achieve very good changes, results and basic matlab, as the experiment has passed.)

BP神经网络预测数据，matlab实现。(BP(ANN)relize forecasts data,matlab.)

ESPRIT算法的经典功率谱估计程序，已运算过，下载即可使用(ESPRIT algorithm is the classic power spectrum estimation procedures have been operational before, you can use to download)

这是一篇介绍如何利用s函数对dq坐标系下的异步电机进行建模仿真的文章，给出了关键部分s函数代码，并有仿真结果(This is an article on how to use s function dq coordinate system for modeling and simulation of induction motors article gives a critical part of the s function code, and simulation results)

MATLAB® is a high-level technical computing language and interactive environment for algorithm development, data visualization, data analysis, and numeric computation. Using the MATLAB product, you can solve technical computing problems faster than with traditional programming languages, such as C, C++, and Fortran. You can use MATLAB in a wide range of applications, including signal and image processing, communications, control design, test and measurement, financial modeling and analysis, and computational biology. Add-on toolboxes (collections of special-purpose MATLAB functions, available separately) extend the MATLAB environment to solve particular classes of problems in these application areas. MATLAB provides a number of features for documenting and sharing your work. You can integrate your MATLAB code with other languages and applications, and distribute your MATLAB algorithms and applications.

This toolbox was designed as a teaching aid, which matlab is particularly good for since source code is relatively legible and simple to modify. However, it is still reasonably fast if used with the supplied optimiser. However, if you really want to speed things up you should consider compiling the matrix composition routine for H into a mex function. Then again if you really want to speed things up you probably shouldn t be using matlab anyway... Get hold of a dedicated C program once you understand the algorithm.

利用Matlab编写的遗传算法工具箱，可应用于不同的算法设计中(Prepared by use of Matlab genetic algorithm toolbox, the algorithm can be applied to different design)