Intrinsic feature extraction in the COI of wavelet power spectra of climatic signals

Z. Zhang, J. Moore

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

2 Citations (Scopus)
Original languageUndefined/Unknown
Title of host publicationImage and Signal Processing (CISP), 4th International Congress on
Pages2354-2356
Number of pages3
Volume5
DOIs
Publication statusPublished - 1 Oct 2011
MoEC publication typeA4 Article in a conference publication
EventInternational Congress on Image and Signal Processing (CISP) - Shanghai, China
Duration: 15 Oct 201117 Oct 2011
Conference number: 4

Conference

ConferenceInternational Congress on Image and Signal Processing (CISP)
Country/TerritoryChina
CityShanghai
Period15.10.201117.10.2011

Keywords

  • feature extraction
  • oceanographic regions
  • oceanographic techniques
  • sea ice
  • Baltic Sea
  • climatic signals
  • cone of influence
  • data boundaries
  • first-order autoregressive extension
  • ice extent
  • intrinsic feature extraction
  • wavelet power spectra
  • Feature extraction
  • Ice
  • Noise
  • Spectral analysis
  • Wavelet analysis
  • Wavelet transforms
  • AR1 extension
  • wavelet power spectrum

Field of science

  • Geosciences

Citation for this output