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您的检索式：关键字=neural modulation
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| 1 | A NEW DIGITAL MODULATION RECOGNITION METHOD USING FEATURES EXTRACTED FROM GAR MODEL PARAMETERS显示文摘Based on the features extracted from generalized autoregressive (GAR) model parameters of the received waveform, and the use of multilayer perceptron(MLP) neural network classifier, a new digital modulation recognition method is proposed in this paper. Because of the better noise suppression ability of the GAR model and the powerful pattern classification capacity of the MLP neural network classifier, the new method can significantly improve the recognition performance in lower SNR with better robustness. To assess the performance of the new method, computer simulations are also performed. | Lu Mingquan Xiao Xianci Li Lemin (University of Electronic Science and Technology of China, Chengdu 610054) | 1999 | Journal of Electronics(China)1999，16，3： | 3 |
| 2 | To Learn or Not to Learn:Deep Learning Assisted Wireless Modem Design显示文摘Deep learning is driving a radical paradigm shift in wireless communications,all the way from the application layer down to the physical layer.Despite this,there is an ongoing debate as to what additional values artificial intelligence(or machine learning)could bring to us,particularly on the physical layer design;and what penalties there may have?These questions motivate a fundamental rethinking of the wireless modem design in the artificial intelli gence era.Through several physicallayer case studies,we argue for a significant role that machine learning could play,for instance in parallel errorcontrol coding and decoding,channel equalization,interference cancellation,as well as multiuser and multiantenna detection.In addition,we discuss the fundamental bottlenecks of machine learning as well as their potential solutions in this paper. | XUE Songyan LI Ang WANG Jinfei YI Na MA Yi Rahim TAFAZOLLI Terence DODGSON | 2019 | ZTE Communications2019，17，4： | 1 |
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