sim_MSK

this is matlab code for estimating the static linear system(system function is time variable) with Kalman Filter. this program is written by matlab 7.0. Here we want to estimate the below function: this is matlab code for estimating the static linear system(system function is time variable) with Recursive Least Squre and 2 solutions for better result. 1- using the Covariance Matrix Reseting in a specefic time. 2-using the RLS with Forget Factor this program is written by matlab 7.0. Here we want to estimate the below function: 1-u^2+(1+tansig(0.1*(t-375)))*u^3+u^5+3*u^7 finally,there are plots for showing results.

labos1 UTR 2007/08 programiranje robota-autica

自己做的锁频环的实现源码，希望对正在设计锁频环的人有所帮助(Own frequency-locked loop to achieve source, in the hope of people being locked loop design help)

单相整流器的电流电压双闭环控制仿真图，通过对电流环电压环进行解耦实现(Single-phase rectifier current and voltage double-loop control simulation diagram, by decoupling the current loop voltage loop)

(Artech House Mobile Communications Library) Siegmund Redl, Matthias Weber, Malcolm W. Oliphant-GSM and Personal Communications Handbook-Artech House Publishers (1998)..a very good book for mobile engineers and students as well

宽带信号测向的几种直接处理算法，主要用于宽带目标的DOA估计(Broadband signal measurements to directly deal with several algorithms, the main goal for broadband DOA estimate)

说明：  符号LMS算法的MATLAB实现 并比较误差性能和收敛速度 结果正确 可以直接使用(MATLAB symbolic realization of LMS algorithm and compare the results of error performance and convergence speed can use proper)

Anisotropic Diffusion

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.

采用K近邻算法预测时间序列的源代码，希望对大家能有所帮助。(Predict time series using kNN.)