Empirical mode decomposition to approach the problem of detecting sources from a reduced number of mixtures (Contributo in atti di convegno)

Type

• Prodotto della ricerca (Classe)
• Contributo in atti di convegno (Classe)

Label

• Empirical mode decomposition to approach the problem of detecting sources from a reduced number of mixtures (Contributo in atti di convegno) (literal)

Anno

• 2003-01-01T00:00:00+01:00 (literal)

Alternative label

• Balocchi, Rita; Menicucci, Danilo; Varanini, Maurizio (2003)
  Empirical mode decomposition to approach the problem of detecting sources from a reduced number of mixtures
  in Annual International Conference of the IEEE Engineering in Medicine and Biology, Cancun, Mexico
  (literal)

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#autori

• Balocchi, Rita; Menicucci, Danilo; Varanini, Maurizio (literal)

Pagina inizio

• 2443 (literal)

Pagina fine

• 2446 (literal)

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#url

• http://www.scopus.com/record/display.url?eid=2-s2.0-1542301025&origin=inward (literal)

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#numeroVolume

• 3 (literal)

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#volumeInCollana

• 3 (literal)

Rivista

• Proceedings of the annual Conference on Engineering in Medicine and Biology (Rivista)

Note

• Scopu (literal)

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#affiliazioni

• Istituto di Fisiologia Clinica del CNR (literal)

Titolo

• Empirical mode decomposition to approach the problem of detecting sources from a reduced number of mixtures (literal)

Abstract

• The paper presents a new approach of Blind Source Separation based on the combined use of Empirical Mode Decomposition (EMD) and Factor Analysis (FA) for the case of more sources than observable signals, the so called overcomplete problem. The EMD-FA performance is tested both over artificial data and real EEG signals and compared with that of the more traditional Independent Component Analysis (ICA). The EMD-FA approach exhibited a neatly superior performance in the overcomplete problem with respect to traditional ICA. Furthermore this approach can be adopted even for nonlinear and nonstationary signals, which makes it very attractive for biomedical signal processing. (literal)

Prodotto di

• Istituto di fisiologia clinica (IFC) (Istituto)

Autore CNR

• RITA BALOCCHI (Unità di personale interno)
• MAURIZIO VARANINI (Persona)

Insieme di parole chiave

• Keywords of "Empirical mode decomposition to approach the problem of detecting sources from a reduced number of mixtures" (Insieme di parole chiave)

Incoming links:

Autore CNR di

• RITA BALOCCHI (Unità di personale interno)
• MAURIZIO VARANINI (Persona)

Prodotto

• Istituto di fisiologia clinica (IFC) (Istituto)

Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#rivistaDi

• Proceedings of the annual Conference on Engineering in Medicine and Biology (Rivista)

Insieme di parole chiave di

• Keywords of "Empirical mode decomposition to approach the problem of detecting sources from a reduced number of mixtures" (Insieme di parole chiave)