用細(xì)胞神經(jīng)網(wǎng)絡(luò)實(shí)現(xiàn)盲均衡的一種新方法
BLIND EQUALZATION WITH CELLULAR NEURAL NETWORK
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摘要: 本文提出并討論了用細(xì)胞神經(jīng)網(wǎng)絡(luò)實(shí)現(xiàn)通信信號(hào)盲均衡的可能性，并基于對(duì)盲均衡算法的分析推出了相應(yīng)細(xì)胞神經(jīng)網(wǎng)絡(luò)模板的設(shè)計(jì)方法，針對(duì)存在多徑干擾的二值信號(hào)處理問(wèn)題進(jìn)行了計(jì)算機(jī)仿真，結(jié)果證明了這一想法是合理的。Abstract: In this papcr,a new approach to blind equalization based on cellular neural network (CNN)is Proposed.According to a reasonable template design method the template for blind equalization is designed.The result of computer simulation proves this approach is reasonable.
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