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基于自适应免疫进化算法的多用户检；
本文采用自适应免疫进化算法来解决多用户检测问题. 通过计算机仿真,无论是抗多址干
扰还是抑制远近效应,此方法都明显优于传统检测方法,并且具有与最优检测器接近的误码率性能.-based on adaptive immune evolutionary algorithm multi-user location; In this paper, adaptive immune evolutionary algorithm to solve the probl
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Blind Source Seperation (BSS) now is a important technology. Independent Component Analysis (ICA) is the main technique of BSS. Suppose we mix many non-Gausse signal sources,ICA can seperate the mixed signal to orignal signals without any information
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this project realted tothe multi user detection of ds cdma signals.comparision is done for different spreading sequences
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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 p
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Multi user detection for CDMA
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