Title | ||
---|---|---|
Natural gradient algorithm for blind separation of overdetermined mixture with additive noise |
Abstract | ||
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We study the natural gradient approach to blind separation of overdetermined mixtures. First we introduce a Lie group on the manifold of overdetermined mixtures, and endow a Riemannian metric on the manifold based on the property of the Lie group. Then we derive the natural gradient on the manifold using the isometry of the Riemannian metric. Using the natural gradient, we present a new learning a... |
Year | DOI | Venue |
---|---|---|
1999 | 10.1109/97.796292 | IEEE Signal Processing Letters |
Keywords | Field | DocType |
Additive noise,Signal processing algorithms,Vectors,Minimization methods,Mutual information,Image enhancement,Biomedical signal processing,Standards development,Biosensors,Blind source separation | Information theory,Information geometry,Lie group,Overdetermined system,Mathematical optimization,Algorithm,Isometry,Minimisation (psychology),Mutual information,Manifold,Mathematics | Journal |
Volume | Issue | ISSN |
6 | 11 | 1070-9908 |
Citations | PageRank | References |
28 | 1.62 | 5 |
Authors | ||
3 |
Name | Order | Citations | PageRank |
---|---|---|---|
Liqing Zhang | 1 | 2713 | 181.40 |
A. Cichocki | 2 | 518 | 40.68 |
Shun-ichi Amari | 3 | 48 | 3.02 |