CFD2_lc

método iterativo de resolución de sistemas lineales GAUSS SEIDEL

仿真了盲辨识RLS和LMS算法的时间平均信干比，分析了两者的多址干扰抑制能力(Simulation of the blind identification algorithm RLS and LMS average signal to interference ratio of the two algorithms of multi-access interference suppression)

This code is used to find the matrix converter result fir improving the active and reactive power

matlab基本知识教程以及在现实中的一些应用(basic knowledge of matlab tutorials and some applications in the real world)

matlab 小波分析 小波重构，主要用于时间序列分析(matlab wavelet analysis wavelet reconstruction, mainly for time series analysis)

Artificial Immune - Particle Swarm Optimization(Artificial Immune- Particle Swarm Optimization)

高斯积分，可以实现任意区域上的平面二重积分，可以带有参数。精确度高，希望对大家有用！(Gaussian integration can be achieved on any area of ​ ​ the plane of the double integral with parameters. Accuracy, we hope to useful!)

In this paper, we introduce a new machine-learning-based data classification algorithm that is applied to network intrusion detection. The basic task is to classify network activities (in the network log as connection records) as normal or abnormal while minimizing misclassification. Although different classification models have been developed for network intrusion detection, each of them has its strengths and weaknesses, including the most commonly applied Support Vector Machine (SVM) method and the Clustering based on Self-Organized Ant Colony Network (CSOACN). Our new approach combines the SVM method with CSOACNs to take the advantages of both while avoiding their weaknesses. Our algorithm is implemented and evaluated using a standard benchmark KDD99 data set. Experiments show that CSVAC (Combining Support Vectors with Ant Colony) outperforms SVM alone or CSOACN alone in terms of both classification rate and run-time efficiency.

本论文中，一个混合载波频率偏移估计方案用于基于通用滤波多载波的系统。 此方案所述CFO估计器基于最小平方（LS）准则首先导出以获得粗略频率偏移估计使用大频率搜索步骤。 接着，通过其精确估计残留频率偏移自相关操作补偿。 该算法具有较大估计的特点范围以及更高的估计精度。(In this letter, a robust hybrid carrier frequency offset (CFO) estimation scheme based on training symbols is devised for universal-filtered multi-carrier (UFMC) based systems. In this scheme, the CFO estimator based on a least square (LS) criterion is firstly derived to acquire a coarse frequency offset estimation with the use of a large frequency searching step. And then, the residual frequency offset is accurately estimated through the auto-correlation operation of received signals which have been compensated. This algorithm has the features of larger estimation range as well as higher estimation precision.)

用遗传算法解决TSP问题，matlab源程序(Genetic algorithm to solve TSP, Matlab source code)