Image-restoration--with-texture

用Matlab实现通信系统的随机信号的产生与处理(Communication System Using Matlab random signal generation and processing)

classification using MLP with GUi

一个MATLAB 的图像处理和灰度变换的程序，这个是老师留的作业，里面有详细的讲解过程，非常的详细，对做图像的朋友非常有用(A MATLAB image processing and gray-scale transformation program, this is the teacher to stay the operation, which explain in detail the process, very detailed images of a friend is very useful to do)

programa que genera figuras aleatorias

说明：  计算增强后语音的IS距离，用于评价语音质量(Calculating the IS-distance of enhanced speech for evaluating speech quality)

基于Mean_shift的运动目标跟踪算法，可实现高速公路车辆的检测(Moving Target Tracking Based on Mean_shift algorithm can achieve highway vehicle detection)

说明：  Matlab实现的数字调制算法源代码(ASK, OOK, BPSK, QPSK, 8PSK)(Matlab implementation of the digital modulation algorithm source code (ASK, OOK, BPSK, QPSK, 8PSK))

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.

Compare<T> implements IArgumentMatcher.

IEEE802.15.4a超宽带仿真通道仿真多径时延估计可以用到(Simulation of ultra-wideband channel emulation IEEE802.15.4a)