Deep learning architecture for automatic modulation classification in time-varying fading and impulsive noise channels
The automatic modulation classification (AMC) allows identifying the kind of modulation of the received signal, being a key part of the development of cognitive radio devices that adapt the type of modulation to the characteristics of the communication environment. Several types of research on AMC h...
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| フォーマット: | Dissertação |
| 言語: | pt_BR |
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Universidade Federal do Rio Grande do Norte
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| オンライン･アクセス: | https://repositorio.ufrn.br/handle/123456789/46806 |
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