Name
Title | ||
|---|---|---|
The Minimum Entropy and Cumulants Based Contrast Functions for Blind Source Extraction |
Abstract | ||
|---|---|---|
In this paper we address the problem of blind source extraction of a subset of "interesting" independent sources from a linear convolutive or instantaneous mixture. The interesting sources are those which are independent and, in a certain sense, are sparse and far away from Gaussianity. We show that in the low-noise limit and when none of the desired sources is Gaussian, the minimum entropy and cumulants based approaches can solve the problem. These criteria, with roots in Blind Deconvolution and in Projection Pursuit, will be proposed here for the simultaneous blind extraction of a group of independent sources. Then, we suggest simple algorithms which, working on the Stiefel manifold perform maximization of the proposed contrast functions. |
Year | DOI | Venue |
|---|---|---|
2001 | 10.1007/3-540-45723-2_95 | IWANN (2) |
Keywords | Field | DocType |
interesting source,projection pursuit,instantaneous mixture,minimum entropy,contrast functions,certain sense,blind source,blind deconvolution,simultaneous blind extraction,linear convolutive,proposed contrast function,independent source,blind source extraction,cumulant | Projection pursuit,Blind deconvolution,Computer science,Deconvolution,Artificial intelligence,Gaussian process,Blind signal separation,Mathematical optimization,Pattern recognition,Algorithm,Stiefel manifold,Independent component analysis,Maximization | Conference |
ISBN | Citations | PageRank |
3-540-42237-4 | 14 | 1.39 |
References | Authors | |
13 | 3 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Sergio Cruces | 1 | 206 | 19.05 |
| Andrzej Cichocki | 2 | 5228 | 508.42 |
| shunichi amari | 3 | 5992 | 1269.68 |