process2

哈明窗设计带通滤波器 低阻带边缘：0.3*pi ； 高阻带边缘：0.6*pi AS＝50dB； 低通带边缘：0.4*pi RP＝0.5dB； 高通带边缘：0.5*pi (hamming window design a bandpass filter)

When a UE moves away the serving eNodeB (eNB) and becomes closer to the neighbouring eNB (see fig.1), the strength of desired received signal decreases and the ICI increases.The impact of ICI in LTE downlink can be analysed according to the received signal to interference and noise ratio (SINR) of UEm on resource block n (RBn) as

SFSDP is a Matlab package for solving sensor network localization problems. The package contains four functions, SFSDP.m, SFSDPplus.m, generateProblem.m, test SFSDP.m, and some numerical examples.

联合智能(JI-MUD)多用户检测算法是由粒子群优化(PSO)算法,遗传算法(GA)和模拟退火(SA)算法(the joint intelligent multi-user detection (JI-MUD) algorithm which was composed by particle swarm optimization (PSO) algorithm, genetic algorithm (GA) and simulated annealing (SA) algorithm was proposed)

实现了蚁群算法求解TSP问题。注释详细 function[R_best,L_best,L_ave,Shortest_Route,Shortest_Length]=ACATSP(C,NC_max,m,Alpha,Beta,Rho,Q) ------------------------------------------------------------------------- 主要符号说明 C n个城市的坐标，n×2的矩阵 NC_max最大迭代次数 m蚂蚁个数 Alpha表征信息素重要程度的参数 Beta表征启发式因子重要程度的参数 Rho信息素蒸发系数 Q信息素增加强度系数 R_best各代最佳路线 L_best各代最佳路线的长度 ========================================================================= (Ant Colony Algorithm for the realization of the TSP problem. Notes the detailed function [R_best, L_best, L_ave, Shortest_Route, Shortest_Length] = ACATSP (C, NC_max, m, Alpha, Beta, Rho, Q) ------------------------------------------------------------------- The main symbol------ C n that cities coordinates, n × 2 matrix NC_max the largest number of iterations m the number of Alpha ant pheromones characterized the importance of the parameters Beta factor heuristic importance of characterization of the parameters Rho evaporation coefficient of pheromone pheromone Q increase in intensity coefficient R_best best route generations generations L_best the length of the best route ====== ================================================== =================)

遗传算法的JAVA实现 做了一个简单函数优化示例~~~~~~体现了面向对象思想(JAVA realization of genetic algorithm to do a simple example of function optimization ~~~~~~ reflects the object-oriented thinking)

查询公交，查询公交，查询公交，查询公交，查询公交，查询公交(Search bus)

switch and stay模式下，瑞利信道环境中的能量检测(energy detection switch and stay mode, Rayleigh channel environment)

Code contains basic math functions.Written in codeblocks as c code.

人工蜂群算法(ABC)的matlab代码,外国人做得,求解连续函数问题(Artificial bee colony algorithm (ABC) matlab code, foreigners do, problem solving continuous function)