moba

最基本的蚁群聚类算法，适合初学者研究学习(The basic ant colony clustering algorithm, suitable for beginners of learning)

mimo ofdm matlab file

黄金搜索发也叫0.618法，该程序功能是黄金搜索算法求区间上的无约束最优化解。(Gold english-fat, also known as Law 0.618, the program features search algorithm is a golden interval for the non-constrained optimal resolve.)

粒子群算法的实现，二维粒子群算法描述，自适应变异(Implementation of particle swarm optimization)

Considered a 16QAM communication system. The information rate is 2 Mb/s and the carrier frequency is 12 GHz. Assumed perfect synchronization. a) Simulated the system if the channel is AWGN and draw bit error rate of the system versus Eb/No. Compare the results with what you obtain in theory. b) Considered (15,11) Hamming code. Apply this code into the above system. Compare the results with what you obtain in theory. c) Simulated uncoded system if we have a Doppler Spread due to mobile movement in the channel. Simulate and draw the bit error rate of the system for maximum mobile speed 42.3 Km/Hour. No equalizer is used in the system. d) Applied coding of part (b) into the system of part (c). Simulate the system and discuss the results. e) Designed an interleaver for the system of part (d) to improve the coded performance results. Simulated the system.

Matlab_overview this is a pdf consist of basic of matlab

说明：  关于混沌振子检测弱信号的系统相位变化图，对初学混沌的人很有用。(On the chaotic oscillator detection of weak signal system phase diagram, for beginners of chaos is very useful.)

本文件是有关于QPSK仿真的matlab源码。(This document is QPSK simulation on matlab source.)

A Novel Technique to Compensate Voltage Sags in Multiline Distribution System—The Interline Dynamic Voltage Restorer

利用MATLAB制作统计报告或报表；从文件中读取数据到MATLAB；从MATLAB中导出数据到文件；数据的平滑处理、标准化变换和极差归一化变换；生成一元和多元分布随机数；蒙特卡洛方法；参数估计与假设检验；Copula理论及应用实例；方差分析；基于回归分析的数据拟合；聚类分析；判别分析；主成分分析；因子分析；图像处理中的统计应用等。 (Making statistical reports or reports by MATLAB to read data from the file to the MATLAB derived from the data to a file in MATLAB data smooth processing, standardization transformation and range normalization transformation generation of univariate and multivariate distribution random number Monte Carlo method parameter estimation and hypothesis testing Copula theory and examples of application analysis of variance data fitting based on regression analysis cluster analysis discriminant analysis principal components analysis factor analysis image processing in the application of statistics.)