Name
Title | ||
|---|---|---|
Syndrome-Enabled Unsupervised Learning for Neural Network-Based Polar Decoder and Jointly Optimized Blind Equalizer. |
Abstract | ||
|---|---|---|
Recently, the syndrome loss has been proposed to achieve “unsupervised learning” for neural network-based BCH/LDPC decoders. However, the design approach cannot be applied to polar codes directly and has not been evaluated under varying channels. In this work, we propose two modified syndrome losses to facilitate unsupervised learning in the receiver. Then, we first apply it to a neural network-ba... |
Year | DOI | Venue |
|---|---|---|
2020 | 10.1109/JETCAS.2020.2992593 | IEEE Journal on Emerging and Selected Topics in Circuits and Systems |
Keywords | DocType | Volume |
Decoding,Unsupervised learning,Blind equalizers,Training,Optimization,Neural networks | Journal | 10 |
Issue | ISSN | Citations |
2 | 2156-3357 | 2 |
PageRank | References | Authors |
0.37 | 0 | 2 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Chieh-Fang Teng | 1 | 6 | 4.58 |
| Yen-Liang Chen | 2 | 2 | 0.37 |