| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 409414 | Neurocomputing | 2006 | 10 Pages |
Abstract
In this paper we revisit a classic HOS-based BSS criterion, namely the maximization of the higher-order moments of the estimated sources. The main contributions of this paper are: (i) a thorough study of the solutions given by popular HOS-based BSS criteria (including spurious solutions) and (ii) a method for estimating the source signals based on the eigendecomposition of certain adjustable HOS-matrices. Results are illustrated by computer simulations.
Related Topics
Physical Sciences and Engineering
Computer Science
Artificial Intelligence
Authors
Susana Hornillo-Mellado, Rubén Martín-Clemente, Carlos G. Puntonet, José I. Acha, Juan Manuel Górriz-Sáez,