cjwqraia

detection of english alphabet

OFDM 的一些 Matlab仿真程序 适合初学者学习借鉴(OFDM some Matlab simulation program for beginners to learn from)

系统辨识的最小二乘辨识法，能辨识传递函数(Least squares identification system identification method can identify the transfer function)

it is based on matlab software

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.

集成板单元刚度矩阵，用于集成板单元刚度矩阵形成总刚(Integrated plate element stiffness matrix for the formation of an integrated plate element stiffness matrix total just)

用传输矩阵法计算光子晶体反射率和透射率的MATLAB程序，（两种公式）且已验证(photonics crystals program)

直方图压缩模板，输入的一定bins的直方图，输出48bins的直方图，可用于图像识别，在对图像提取直方图特征后进行降维操作(Compression template histogram, histogram bins certain input, output 48bins histogram, can be used for image recognition, the histogram of the image feature extraction operation after the dimension reduction)

mimo-ofdm系统中不同天线配置下的信道遍历容量(mimo-ofdm system under different antenna configurations channel ergodic capacity)

说明：  更新部分 1、自适应算法采用参考文献[2]的NLMS算法，收敛速度更快，所需训练次数更少。 2、自适应收敛步长在(0,2)之间存在较优取值，Lorenz序列为0.6。(update an adaptive algorithm reference [2] NLMS algorithm, convergence faster, less the number of required training. 2, adaptive step in the convergence of (0,2) between the optimum value, Lorenz sequence of 0.6.)