文件名称:The-Multi-user-Detection-ALGORITHM
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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
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下载文件列表
程序\HGA&PSO\19.bmp
....\.......\19.fig
....\.......\Fig.m
....\.......\FUNCTION.asv
....\.......\FUNCTION.m
....\.......\HGA.m
....\.......\PSO.m
....\.......\untitled.bmp
....\.......\untitled.fig
....\MMSE&ML\10.18.txt
....\.......\b_demodu.m
....\.......\demap.m
....\.......\draw.m
....\.......\gaosi_Channel.m
....\.......\get_chan.m
....\.......\get_pilot_f.m
....\.......\insert_cp.m
....\.......\insert_pilot.m
....\.......\ML_eq.m
....\.......\mmse_eq.m
....\.......\ofdm_Channel.m
....\.......\ofdm_main.asv
....\.......\ofdm_main.m
....\.......\ofdm_Modulation.m
....\.......\ZF_eq.m
....\.......\说明.doc
....\PSO\5.12\1.fig
....\...\....\11.fig
....\...\....\2.fig
....\...\....\22.fig
....\...\....\3.fig
....\...\....\33.fig
....\...\....\PSO512.m
....\...\...9\PSO-NNs1.fig
....\...\....\PSO-NNs2.fig
....\...\....\SL3.asv
....\...\....\SL3.m
....\...\....\单独\PSO.m
....\...\....\....\SJ.m
....\...\....\组合\SL0.m
....\...\....\....\SL1.m
....\...\....\....\SL2.m
....\...\....\....\SL3.m
....\...\PSO.m
....\...\5.19\单独
....\...\....\组合
....\...\5.12
....\...\5.19
....\HGA&PSO
....\MMSE&ML
....\PSO
程序