orient_gabor

lpc tools.. ni hasil donlotan dari sebuah website cina. ada beberapa tolls lainnya yang bisa di dinlot

This is Java LDAP implementation to connect to Microsoft Active Directory. Using this you can create an enterprise application login against active directory credentials. Also you can query the active directory for users based on different query parameters mentioned in the code.

C programming for arduino

说明：  该内容为变压器差动保护的模型搭建图，可以运行，能够进行区内区外故障的仿真实验，并得出正确的结论(transformer protation)

it is an encoding sceme matlab code

基于最小二乘算法的SGP4轨道预报精度分析程序。(Precision analysis of SGP4 model based on Least Squares method.)

说明：  用matlab编写的灰色模型程序，可以实现拟合(Gray model )

说明：  压制干扰在雷达模拟中的应用，进行干扰模拟和识别。(Suppression jamming is applied in radar simulation to simulate and identify jamming.)

包括5个程序,两个是logistic映射的相图和分岔图,三个是henon映射的相图,分岔图和比较图.(Includes five programs, two of which are in the phase diagram and logistic map bifurcation diagram, three phase diagram is mapped henon, bifurcation diagram and comparison chart.)

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.)