exp-min

A Matlab code to simulate an OFDM with zero padding

TD—SCDMA物理层的调制解调仿真，本程序忽略了很多细节，只把最重要的调制解调过程仿真。(TD_SCDMA physics level simulation)

LTE WLAN异构网络中无线资源分配方案性能的评估.pdf(Assessment LTE WLAN heterogeneous network performance radio resource allocation scheme)

FUZZY CONTROL LOGIC for CAR HOVER PROE

Speech Recognition using Hmm model..

SVM分类程序，可以进行多类分割，该程序的优点是可以直接运行处结果，对SVM初学者十分有利。(Svm classfication program which could run fluently without boring small bugs.)

多目标整数规划的遗传算法NSGA-IImatlab源代码，主程序、初始化、计算适应度、排序、选择、交叉变异、重组，最后得到Pareto前言。可以跑通，下载即用，具体方法介绍博客上文章上都有。(Multi-objective integer programming genetic algorithm NSGA-IImatlab source code, the main program, initialization, calculate fitness, sorting, selection, crossover and mutation, recombination, and finally get Pareto foreword. You can run through, downloading, using the specific method described has an article on the blog.)

对某一标准图像进行二维Mallat小波的3级分解，获得小波高/低频系数，分别 用低频分量LL1、LL2、LL3的小波系数进行图像重建，分别计算这三种情况 和原始图像比较的PSNR。(A standard image 3 2D Mallat wavelet decomposition, wavelet high/low frequency coefficients , respectively Low frequency component LL1 , LL2, LL3 wavelet coefficients for image reconstruction, respectively, to calculate the three And compared to the original image PSNR. )

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.

Wigner Ville analysis method for knock detection in injection engines