Name
Abstract | ||
|---|---|---|
We compare three clipping techniques for reducing the PAPR of an UFMC signal over an AWGN channel. First, the techniques are analyzed probabilistically showing that deep clipping reduces the most, but it also has the worst performance. Then, the percentile levels of deep factor and level clipping are optimized, achieving similar performance that common techniques. |
Year | DOI | Venue |
|---|---|---|
2017 | 10.1109/LATINCOM.2017.8240171 | 2017 IEEE 9th Latin-American Conference on Communications (LATINCOM) |
Keywords | Field | DocType |
PAPR,UFMC,Clipping Techniques | Computer science,Algorithm,Communication channel,Filtering theory,Additive white Gaussian noise,Distortion,Clipping (audio),Percentile | Conference |
ISSN | ISBN | Citations |
2330-989X | 978-1-5386-2099-1 | 0 |
PageRank | References | Authors |
0.34 | 5 | 5 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Milton N. Tipan | 1 | 0 | 0.34 |
| Javier Cáceres | 2 | 0 | 0.34 |
| Mariela N. Jimenez | 3 | 0 | 0.34 |
| Ivan N. Cano | 4 | 14 | 5.16 |
| Germán V. Arévalo | 5 | 5 | 1.59 |