Guoyao Chen, Lin Sun, Ke Xu, Jiangbing Du, Zuyuan He
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引用次数: 6
Abstract
A machine learning method of effective nonlinear decision frame for PAM-N system based on support vector machine (SVM) using complete binary tree (CBT) structure is demonstrated in this work. The simulations results indicate improved performance by the proposed classifier which enhances the power sensitivity by 2-dB and 6-dB at the receiver side in 100-Gbps PAM-4 and PAM-8 systems respectively.
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