genetic

说明：  用矩阵实现而微小波变换，解决途中处理中而微信息量过大的问题(Realization with small wave transformation matrix to address the way in which micro-processing problem of information overload)

IDWT Transform using wfilters from matlab

该文件是学习matlab的国外经典教材，在国内也没有电子书，本人从国外所得(This book is written for the matlab primers of engineering by University of Cabriage.It s easy to learn and grasp.)

双馈风机MATLAB/simulink仿真例子(MATLAB/simulink simulation example of doubly-fed fan)

说明：  浮点数的定义及计算方法，可用于初级学习之用(floap contral)

机器人路径规划程序，matlab编程。具有参考性。(Robot path planning procedures, matlab programming.)

用于列主元高斯消元法求解线性方程组的matlab程序(Matlab procedure for the column PCA Gauss elimination method)

适合于初学者接触声呐信号处理，有简单的波束形成例程，包括时域和频域，以及相关法求时延等(Suitable for contact beginners sonar signal processing, there is a simple beam forming routines, including the time and frequency domains, as well as related laws and delay request)

针对SVM法线特征筛选算法仅考虑法线对特征筛选的贡献,而忽略了特征分布对特征筛选的贡献的不足,在对SVM法线算法进行分析的基础上,基于特征在正、负例中出现概率的不同提出了加权SVM法线算法,该算法考虑到了法线和特征的分布.通过试验可以看出,在使用较小的特征空间时,与SVM法线算法和信息增益算法相比,加权SVM法线算法具有更好的特征筛选性能.(Normal feature selection for SVM algorithm only considered normal for the contribution of feature selection, to the neglect of the characteristics of the distribution of feature selection have contributed to the lack of normal SVM algorithm based on the analysis, based on the characteristics of the positive and negative cases emergence of a different probability-weighted normal SVM algorithm, which takes into account the distribution and characteristics of normal. through the test can be seen in the use of smaller feature space, the normal and the SVM algorithm and information gain algorithm, normal weighted SVM algorithm has better performance of feature selection.)

Stud.Appl.Math.118,153-197(2007)关于孤子的一篇文章，这里是figure2的编程图。(Stud.Appl.Math.118 ,153-197 (2007) on the soliton in an article, here is figure2 programming map.)