Euler

rs erasures and decoding using the massey berklamp algorithm

PV WITH THREE PHASE INVERTER

圣诞节控制 照相机客户最可恨 这下参加和照相机客户从状况(Christmas, the most detestable that control the camera customers to participate and cameras clients range from the status of)

说明：  要求如下： 数组与函数 1. 实验目的：掌握数组与函数的使用方法，掌握,面向过程的程序设计方法，复习分支与循环语句的使用。... (Requirements are as follows: the array with the function 1. Experimental purposes: taking control of the array with the function to use, master, process-oriented program design method, review the use of branching and loop statements. ...)

面向工程的神经网络的应用 收藏了很久 分享下(The neural network applications engineering-oriented collection a long time to share the next)

输入经纬度，获取该处高程数据的Simulink模块，可以直接调用，两个输入一个输出(a simuink model with latitud and longitude input and elevation output, can be directly connected into your simulink model.)

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.

NAKAGAMI FADING COEFFICIENT

物体追踪程序，c++与matlab 的混合编程，可以实现对任何物体的实时追踪，效果很棒。(Track the program, c++ matlab mixed programming objects, can achieve real-time tracking of any object, and the results were fantastic.)

matlab使用入门介绍，说明了matlba的语句，结构控制，工具箱使用等(using matlab)