Name
Title | ||
|---|---|---|
Cyclic maximization of non-Gaussianity for blind signal extraction of complex-valued sources |
Abstract | ||
|---|---|---|
This article presents a new algorithm for the blind extraction of communications sources (complex-valued sources) through the maximization of negentropy approximations based on nonlinearities. A criterion based on the square modulus of a nonlinearity of the output is used. We decouple the arguments of the criterion so that the algorithm maximizes it cyclically with respect to each argument by means of the Cauchy-Schwarz inequality. A proof of the ascent of the objective function after each iteration is also provided. Numerical simulations corroborate the good performance of the proposed algorithm in comparison with the existing methods. |
Year | DOI | Venue |
|---|---|---|
2011 | 10.1016/j.neucom.2011.03.031 | Neurocomputing |
Keywords | Field | DocType |
blind signal extraction,negentropy criterion,negentropy approximation,cauchy-schwarz inequality,new algorithm,proposed algorithm,cyclic maximization,complex-valued source,independent component analysis,existing method,algorithm maximizes,communications source,good performance,blind extraction,numerical simulation,objective function | Negentropy,Nonlinear system,Blind signal extraction,Artificial intelligence,Independent component analysis,Mathematics,Non-Gaussianity,Machine learning,Maximization | Journal |
Volume | Issue | ISSN |
74 | 17 | Neurocomputing |
Citations | PageRank | References |
5 | 0.43 | 21 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Iván Durán-Díaz | 1 | 21 | 3.85 |
| Sergio Cruces | 2 | 206 | 19.05 |
| MaríA Auxiliadora Sarmiento-Vega | 3 | 6 | 0.79 |
| Pablo Aguilera-Bonet | 4 | 20 | 3.15 |