ldpc_gallager

一种带量子门的改进的遗传算法matlab源程序。(A quantum gate with improved genetic algorithm matlab source.)

说明：  一个统一的求无约束优化极值函数，方法名由参数传入例如：fmins(无约束方法，一维搜索方法，目标函数，初始点，精度) (A uniform evaluation of unconstrained optimization extremal functions, methods, for example, by an argument: fmins (unconstrained one-dimensional search method, the objective function, the initial point accuracy))

《node入门》是一本较好的入门级教材，本人起初也使用，通俗易懂。希望对大家有所帮助。("Node Getting Started" is a good entry-level textbook, I first use, easy to understand. We want to help.)

LT码的matab仿真，介绍了喷泉码中LT码的编码译码过程(The LT codes matab simulation introduced the fountain code encoding of LT codes decoding process)

卡尔曼滤波matlab源代码,提供了详细的代码(the .m file provides the detail process of kalman filter,also includes the explanation)

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.)

Projective Geometry Cyclic code, n=21, k=10 Majority Logic Decoding BPSK BER simulation

谢菲尔德大学的遗传算法工具箱，已经测试好用(University of Sheffield genetic algorithm toolbox)

Window下c程序设计的初级教程（含代码），c程序员在windows下开发程序应该阅读的第一部资料(Programming windows via C)

Gravitational Search Algorithm By Esmat Rashedi