我编写的小波去噪的思想程序

这本书系统的讲了LTE的发展背景，关键技术，以及发展的趋势。对于初学者来说是不错的一本书。(This book introduced the LTE system development background, key technology and trends. For beginners it is a very good book.)

追赶法解数学方程，主要用于数值运算，希望对大家有帮助(Solving mathematical equations to catch up, mainly for numerical computation, we want to help)

Weighted ELM for imbalanced datasets - Weighted-ELM W. Zong, G.-B. Huang, and Y. Chen, “Weighted extreme learning machine for imbalance learning,” Neurocomputing, vol. 101, pp. 229-242, 2013.

合作检测算法，各种传统判决规则，基于能量检测算法(coorporated detection)

一个基本的遗传算法的源代码，matlab写的。它可用于优化，推销员问题和许多其他。希望这将是有益的；

fast ica 算法 matlab源代码，比较好，简单易懂(fast ica)

Digital Signal Processing-LiTAN

病态线性方程组的计算题，涉及Gauss消元法、雅可比迭代法、高斯-赛德尔迭代法、最速下降法和共轭梯度法。每一个方法，都编写一个m文件，封装成函数的形式。然后通过总的HilbLineEquSet.m文件来调用执行，画出误差曲线图，得到运行结果。总的Matlab程序流程，如下所示： 病态方程组的计算包括：HilbLineEquSet.m、gauss.m、jacobi.m、gauss_seidel.m、fastest_descend.m和conjugated_grad.m六个文件。 程序执行结果包括：求解结果、迭代次数、迭代误差数据、误差曲线图等。 (Morbid Linear Equations calculation problems involving Gauss elimination method, Jacobi' s iterative method, Gauss- Seidel iterative method, steepest descent method and conjugate gradient method. Each method, all the preparation of an m file, packaged in the form of a function. Then the total HilbLineEquSet.m file to invoke the implementation of draw error curve, to be running results. General Matlab program flow, as follows: the calculation of morbid equations include: HilbLineEquSet.m, gauss.m, jacobi.m, gauss_seidel.m, fastest_descend.m and conjugated_grad.m six documents. Procedures for implementation of the findings include: solving a result, the number of iterations, iterative error data, error curve and so on.)

经典的music同步代码，可用于3GLTE下行时频同步计算，很有用的资料额。。(a very commom synchronization method named as MUSIC,used for 3GLTE downlink timing and frequency sychronization ,it s useful.)

一款基于svm的程序，在windows下运行，主要用于svm分类(Toolbox: OSU_SVM3.00 Classification_OSU_SVM.m- multi-class classification)