Methods for detection and characterization of signals in noisy data with the Hilbert-Huang transform

Record Type
Journal Articles
Full Title
Methods for detection and characterization of signals in noisy data with the Hilbert-Huang transform
Author(s)
Stroeer A, Cannizzo J, Camp J, Gagarin N
Publication Title
PHYSICAL REVIEW D
Publication Title (abbreviated)
PHYS REV D
Publication Date
2009 Jun
DOI
10.1103/PhysRevD.79.124022
ISSN
1550-7998
Volume
79
Issue
12
Page Count
10
Article Number
124022
Keyword(s)
Astronomy & Astrophysics, Physics, Particles & Fields, EMPIRICAL MODE DECOMPOSITION, TIME-SERIES ANALYSIS, LIGO
Citation
Stroeer A, Cannizzo J, Camp J, Gagarin N. Methods for detection and characterization of signals in noisy data with the Hilbert-Huang transform. PHYS REV D. 2009;79 (12):10.
Conditions of Use
  • Author can archive pre-print (i.e., pre-refereeing)
  • Author can archive post-print (i.e., final draft post-refereeing)
  • On author's personal website, employer's website or institutional repository
  • Publisher's version/PDF may be used
  • Publisher's version/PDF may be used on author's personal website or employer's website only
  • Link to publisher version required
  • Publisher copyright and source must be acknowledged with citation
  • Publisher last contacted on 29/02/2012
  • Publisher last reviewed on 01/07/2016

More usage information may be available at SHERPA/RoMEO