Name
Title | ||
|---|---|---|
Performance evaluation of the correntropy coefficient in automatic modulation classification. |
Abstract | ||
|---|---|---|
•We propose the direct use of the correntropy for modulation format recognition.•We investigate the influence of kernel size on the performance of the classifier.•The absence of a pre-processing module in the classifier reduces the complexity.•The method was shown to be highly efficient and scalable for wireless systems. |
Year | DOI | Venue |
|---|---|---|
2015 | 10.1016/j.eswa.2014.07.023 | Expert Systems with Applications |
Keywords | Field | DocType |
Automatic modulation classification,Information theory,Correntropy coefficient | Information theory,Kernel (linear algebra),Wireless,Similarity measure,Pattern recognition,Computer science,Adaptive system,Artificial intelligence,Classifier (linguistics),Additive white Gaussian noise,Machine learning,Cognitive radio | Journal |
Volume | Issue | ISSN |
42 | 1 | 0957-4174 |
Citations | PageRank | References |
4 | 0.40 | 18 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Aluisio I. R. Fontes | 1 | 20 | 4.50 |
| Allan de M. Martins | 2 | 4 | 0.74 |
| Luiz Felipe Q. Silveira | 3 | 19 | 6.32 |
| José Carlos Príncipe | 4 | 4 | 0.40 |