Name
Title | ||
|---|---|---|
Complex Correntropy: Probabilistic Interpretation and Application to Complex-Valued Data. |
Abstract | ||
|---|---|---|
Recent studies have demonstrated that correntropy is an efficient tool for analyzing higher order statistical moments in non-Gaussian noise environments. Although correntropy has been used with complex data, no theoretical study was pursued to elucidate its properties, nor how to best use it for optimization. By using a probabilistic interpretation, this work presents a novel similarity measure be... |
Year | DOI | Venue |
|---|---|---|
2017 | 10.1109/LSP.2016.2634534 | IEEE Signal Processing Letters |
Keywords | Field | DocType |
Kernel,Random variables,Mathematical model,Probabilistic logic,Signal processing algorithms,Cost function,Correlation | Least mean squares filter,Random variable,Pattern recognition,Similarity measure,Complex data type,Least absolute deviations,Artificial intelligence,Probabilistic logic,System identification,Mathematics,Recursive least squares filter | Journal |
Volume | Issue | ISSN |
24 | 1 | 1070-9908 |
Citations | PageRank | References |
5 | 0.46 | 11 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| João P. F. Guimarães | 1 | 5 | 2.48 |
| Aluisio I. R. Fontes | 2 | 20 | 4.50 |
| Joilson B. A. Rego | 3 | 9 | 2.27 |
| Allan Martins | 4 | 25 | 7.15 |
| José C. Principe | 5 | 46 | 5.08 |