Low-Complexity PAPR Reduction Method for OFDM Systems Based on Real-Valued Neural Networks.
Zhijun LiuXin HuKang HanSun ZhangLinlin SunLexi XuWeidong WangFadhel M. GhannouchiPublished in: IEEE Wirel. Commun. Lett. (2020)
Keyphrases
- low complexity
- real valued
- ofdm system
- reduction method
- neural network
- estimation algorithm
- wireless communication
- multipath
- complex valued
- bit error rate
- recursive least squares
- orthogonal frequency division multiplexing
- motion estimation
- selection algorithm
- back propagation
- computational complexity
- genetic algorithm
- fading channels
- fuzzy logic
- video streaming
- recurrent neural networks
- latent variables
- artificial neural networks
- feed forward
- end to end
- motion vectors
- computationally efficient
- computer simulation
- support vector machine
- classification accuracy
- machine learning