Name
Title | ||
|---|---|---|
Information theoretic learning for inverse problem resolution in bio-electromagnetism |
Abstract | ||
|---|---|---|
This paper addresses the issue of learning directly from the observed data in Blind Source Separation (BSS), a particular inverse problem. This problem is very likely to occur when we are dealing with two or more independent electromagnetic sources. A powerful approach to BSS is Independent Component Analysis (ICA). This approach is much more powerful if no apriori assumption about data distribution is made: this is possible transferring as much information as possible to the learning machine defining a cost function based on an information theoretic criterion. In particular, Renyi's definition of entropy and mutual information are introduced and MERMAID (Minimum Renyi's Mutual Information), an algorithm for ICA based on such these definitions, is here described, implemented and tested over a popular BSS problem in bio-electromagnetism: fetal Electrocardiogram (fECG) extraction. MERMAID was compared to the well known algorithm INFOMAX and it showed to better learn from data and to provide a better source separation. The extracted fECG signals were finally post-processed by wavelet analysis. |
Year | DOI | Venue |
|---|---|---|
2007 | 10.1007/978-3-540-74829-8_51 | KES (3) |
Keywords | Field | DocType |
observed data,information theoretic criterion,better source separation,particular inverse problem,mutual information,minimum renyi,popular bss problem,inverse problem resolution,data distribution,fecg signal,algorithm infomax,wavelet analysis,cost function,wavelet transform,independent component analysis,blind source separation,inverse problem | Pattern recognition,Computer science,Inverse problem,Mutual information,Artificial intelligence,Independent component analysis,Blind signal separation,Infomax,Source separation,Wavelet,Wavelet transform | Conference |
Volume | ISSN | Citations |
4694 | 0302-9743 | 2 |
PageRank | References | Authors |
0.40 | 3 | 6 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Nadia Mammone | 1 | 136 | 19.69 |
| Maurizio Fiasché | 2 | 49 | 9.23 |
| Giuseppina Inuso | 3 | 14 | 3.93 |
| Fabio La Foresta | 4 | 93 | 15.69 |
| Francesco Carlo Morabito | 5 | 339 | 54.83 |
| Mario Versaci | 6 | 51 | 15.70 |