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The PAPR issue in OFDM system can be formulated to a combinational optimization problem. This paper proposes a class of approaches to reduce the PAPR value of multi-carrier/OFDM system by solving this combinational optimization problem with some improved Hopfield neural networks (HNN) . Furthermore, the general theoretical framework of PAPR reduction based on all kinds of HNN is presented as well...
This paper proposes a novel approach to reduce the PAPR value of PCC-OFDM with a new stochastic Hopfield neural network rotator (S-HNN-R) with soft feedback. By adopting new neural output function and random state disturbance, the system performance is improved greatly. Furthermore, the side information isn't needed any more compared to the traditional SLM method. From numerical experiments, it is...
This paper proposes a new approach to reduce the PAPR with a new adaptive soft feedback stochastic Hopfield neural network (S-HNN). By adopting new neural output function and random state disturbance, the PAPR performance is improved greatly. Furthermore, it can be implemented easily compared to the traditional HNN method. By parameter adjustment, the lowest PAPR can be found. So it is an effective...
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