Derivative

这是我强烈推荐的一本书，它是基于开源软件做的类似于matlab的一个工具，功能非常的强大，建议在校学生好好学习这门课，对于以后的应用会有很大的帮助(python)

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.)

说明：  在matlab的GUI界面中能够实现自动下俄罗斯方块，适合人工智能课程(It can be achieved automatically about the Russian box under the GUIinterface in matlab, for Artificial Intelligence)

图论常用算法代码，floyd，tsp的模拟退火算法等。(Used graph theory algorithm code, floyd, tsp of the simulated annealing algorithm.)

盲源信号分析kernel-ica,amari_distance,chol_gauss,contrast_emp_grad,contrast_ica,demo_dernel_ica(kica for kernel-ica,amari_distance,chol_gauss,contrast_emp_grad,contrast_ica,demo_dernel_ica)

基于matlab仿真的应用SVPWM调制技术的电流双闭环T型三电平逆变器的仿真模型(Matlab simulation of current applications SVPWM modulation technique of Double Loop T-type three-level inverter simulation model based on)

说明：  本论文介绍了一种新的估计信号参数的方法，并且该方法可以用于信号的捕获。(This thesis produces a new method of estimating signal parameters,then prove that it is can be used for signal acquisitioning.)

说明：  一个关于实现希尔伯特变换的MATLAB实用源程序，对大家有一定的参考作用。(Hilbert transform on the realization of a practical source MATLAB, all of us have some reference.)

一个很有意思的程序，MATLAB编写的关于的情感的调查(A very interesting program, MATLAB prepared a survey on the emotional)

采用一种新的方法，对图像进行matting，并取得良好的效果(the image matting with good approach)