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...
Tallennettuna:
| Päätekijä: | |
|---|---|
| Muut tekijät: | |
| Aineistotyyppi: | Dissertação |
| Kieli: | pt_BR |
| Julkaistu: |
Universidade Federal do Rio Grande do Norte
|
| Aiheet: | |
| Linkit: | https://repositorio.ufrn.br/handle/123456789/46806 |
| Tagit: |
Lisää tagi
Ei tageja, Lisää ensimmäinen tagi!
|