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UID:3619@i2m.univ-amu.fr
DTSTART;TZID=Europe/Paris:20210115T143000
DTEND;TZID=Europe/Paris:20210115T153000
DTSTAMP:20210111T093810Z
URL:https://www.i2m.univ-amu.fr/evenements/an-efficient-forecasting-approa
 ch-to-reduce-boundary-effects-in-real-time-time-frequency-analysis-adrien-
 meynard/
SUMMARY:Adrien Meynard (Duke University\, Durham): An efficient forecasting
  approach to reduce boundary effects in real-time time-frequency analysis 
 - Adrien Meynard
DESCRIPTION:Adrien Meynard: Time-frequency representations of time series a
 re intrinsically subject to the boundary effects. As a result\, the struct
 ures of signals that are highlighted by the representations are garbled wh
 en approachingthe boundaries of the TF domain. For the purpose of real-tim
 e TF information acquisition of nonstationary oscillatory time series\, we
  propose a numerically efficient approach for the reduction of such bounda
 ry effects. The solution relies on an extension ofthe analyzed signal obta
 ined by a forecasting technique. In the case of the study of a class of lo
 cally oscillating signals\, we provide a theoretical guarantee of the perf
 ormance of our approach. Following a numerical verification of the algorit
 hmic performanceof our approach\, we validate it by implementing it on bio
 medical signals.
ATTACH;FMTTYPE=image/jpeg:https://www.i2m.univ-amu.fr/wp-content/uploads/2
 020/01/Adrien_Meynard.jpg
CATEGORIES:Séminaire,Signal et Apprentissage
LOCATION:I2M Chateau-Gombert - CMI\, Salle de Séminaire R164 (1er étage)\
 , 39 Rue Joliot Curie\, 13013 Marseille\, France\, Campus Château-Gombert
 \, 
X-APPLE-STRUCTURED-LOCATION;VALUE=URI;X-ADDRESS=39 Rue Joliot Curie\, 13013
  Marseille\, France\, Campus Château-Gombert\, ;X-APPLE-RADIUS=100;X-TITL
 E=I2M Chateau-Gombert - CMI\, Salle de Séminaire R164 (1er étage):geo:0,
 0
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DTSTART:20201025T020000
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TZOFFSETTO:+0100
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