Name
Abstract | ||
|---|---|---|
This paper considers the blind recognition of the type and the encoding parameters of channel codes from the Gaussian noisy signals. Specifically, based on the recurrent neural network (RNN), the attention mechanism, and the residual neural network (ResNet), three universal recognizers are proposed to identify the type, rate, and length of the target channel codes, with a training set generated by... |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1109/JSAC.2021.3087252 | IEEE Journal on Selected Areas in Communications |
Keywords | DocType | Volume |
Encoding,Signal to noise ratio,Parity check codes,Target recognition,Convolutional codes,Training,Recurrent neural networks | Journal | 39 |
Issue | ISSN | Citations |
8 | 0733-8716 | 0 |
PageRank | References | Authors |
0.34 | 0 | 5 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Boxiao Shen | 1 | 0 | 0.34 |
| Chuan Huang | 2 | 49 | 17.26 |
| Wenjun Xu | 3 | 45 | 11.81 |
| Tingting Yang | 4 | 41 | 8.00 |
| Shuguang Cui | 5 | 5382 | 368.45 |